| Records |
| Author |
Gemma Roig; Xavier Boix; Fernando De la Torre |
| Title |
Optimal Feature Selection for Subspace Image Matching |
Type |
Conference Article |
| Year |
2009 |
Publication |
2nd IEEE International Workshop on Subspace Methods in conjunction |
Abbreviated Journal |
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| Volume |
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Issue |
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Pages |
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| Keywords |
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| Abstract |
Image matching has been a central research topic in computer vision over the last decades. Typical approaches to correspondence involve matching feature points between images. In this paper, we present a novel problem for establishing correspondences between a sparse set of image features and a previously learned subspace model. We formulate the matching task as an energy minimization, and jointly optimize over all possible feature assignments and parameters of the subspace model. This problem is in general NP-hard. We propose a convex relaxation approximation, and develop two optimization strategies: naïve gradient-descent and quadratic programming. Alternatively, we reformulate the optimization criterion as a sparse eigenvalue problem, and solve it using a recently proposed backward greedy algorithm. Experimental results on facial feature detection show that the quadratic programming solution provides better selection mechanism for relevant features. |
| Address |
Kyoto, Japan |
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Expedition |
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Conference |
ICCV |
| Notes |
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Approved |
no |
| Call Number |
Admin @ si @ RBT2009 |
Serial |
1233 |
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| Author |
Ariel Amato; Angel Sappa; Alicia Fornes; Felipe Lumbreras; Josep Llados |
| Title |
Divide and Conquer: Atomizing and Parallelizing A Task in A Mobile Crowdsourcing Platform |
Type |
Conference Article |
| Year |
2013 |
Publication |
2nd International ACM Workshop on Crowdsourcing for Multimedia |
Abbreviated Journal |
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| Volume |
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Issue |
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Pages |
21-22 |
| Keywords |
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| Abstract |
In this paper we present some conclusions about the advantages of having an efficient task formulation when a crowdsourcing platform is used. In particular we show how the task atomization and distribution can help to obtain results in an efficient way. Our proposal is based on a recursive splitting of the original task into a set of smaller and simpler tasks. As a result both more accurate and faster solutions are obtained. Our evaluation is performed on a set of ancient documents that need to be digitized. |
| Address |
Barcelona; October 2013 |
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Edition |
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| ISSN |
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ISBN |
978-1-4503-2396-3 |
Medium |
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Expedition |
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Conference |
CrowdMM |
| Notes |
ADAS; ISE; DAG; 600.054; 600.055; 600.045; 600.061; 602.006 |
Approved |
no |
| Call Number |
Admin @ si @ SLA2013 |
Serial |
2335 |
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| Author |
Angel Sappa; Niki Aifanti; Sotiris Malassiotis; Michael G. Strintzis |
| Title |
Prior Knowledge Based Motion Model Representation |
Type |
Book Chapter |
| Year |
2009 |
Publication |
Progress in Computer Vision and Image Analysis |
Abbreviated Journal |
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| Volume |
16 |
Issue |
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Pages |
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Editor |
Horst Bunke; JuanJose Villanueva; Gemma Sanchez |
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Conference |
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| Notes |
ADAS |
Approved |
no |
| Call Number |
ADAS @ adas @ SAM2009 |
Serial |
1235 |
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| Author |
Carme Julia; Angel Sappa; Felipe Lumbreras; Joan Serrat; Antonio Lopez |
| Title |
Predicting Missing Ratings in Recommender Systems: Adapted Factorization Approach |
Type |
Journal Article |
| Year |
2009 |
Publication |
International Journal of Electronic Commerce |
Abbreviated Journal |
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| Volume |
14 |
Issue |
1 |
Pages |
89-108 |
| Keywords |
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| Abstract |
The paper presents a factorization-based approach to make predictions in recommender systems. These systems are widely used in electronic commerce to help customers find products according to their preferences. Taking into account the customer's ratings of some products available in the system, the recommender system tries to predict the ratings the customer would give to other products in the system. The proposed factorization-based approach uses all the information provided to compute the predicted ratings, in the same way as approaches based on Singular Value Decomposition (SVD). The main advantage of this technique versus SVD-based approaches is that it can deal with missing data. It also has a smaller computational cost. Experimental results with public data sets are provided to show that the proposed adapted factorization approach gives better predicted ratings than a widely used SVD-based approach. |
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Series Title |
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Series Issue |
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Edition |
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| ISSN |
1086-4415 |
ISBN |
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Medium |
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Expedition |
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Conference |
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| Notes |
ADAS |
Approved |
no |
| Call Number |
ADAS @ adas @ JSL2009b |
Serial |
1237 |
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| Author |
Partha Pratim Roy; Josep Llados; Umapada Pal |
| Title |
A Complete System for Detection and Recognition of Text in Graphical Documents using Background Information |
Type |
Conference Article |
| Year |
2009 |
Publication |
5th International Conference on Computer Vision Theory and Applications |
Abbreviated Journal |
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Issue |
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Pages |
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| Address |
Lisboa, Portugal |
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Thesis |
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Place of Publication |
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Editor |
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Original Title |
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Series Title |
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Abbreviated Series Title |
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Series Issue |
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Edition |
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| ISSN |
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ISBN |
978-989-8111-69-2 |
Medium |
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| Area |
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Expedition |
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Conference |
VISAPP |
| Notes |
DAG |
Approved |
no |
| Call Number |
DAG @ dag @ RLP2009 |
Serial |
1238 |
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| Author |
Partha Pratim Roy; Umapada Pal; Josep Llados |
| Title |
Seal detection and recognition: An approach for document indexing |
Type |
Conference Article |
| Year |
2009 |
Publication |
10th International Conference on Document Analysis and Recognition |
Abbreviated Journal |
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| Volume |
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Issue |
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Pages |
101–105 |
| Keywords |
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| Abstract |
Reliable indexing of documents having seal instances can be achieved by recognizing seal information. This paper presents a novel approach for detecting and classifying such multi-oriented seals in these documents. First, Hough Transform based methods are applied to extract the seal regions in documents. Next, isolated text characters within these regions are detected. Rotation and size invariant features and a support vector machine based classifier have been used to recognize these detected text characters. Next, for each pair of character, we encode their relative spatial organization using their distance and angular position with respect to the centre of the seal, and enter this code into a hash table. Given an input seal, we recognize the individual text characters and compute the code for pair-wise character based on the relative spatial organization. The code obtained from the input seal helps to retrieve model hypothesis from the hash table. The seal model to which we get maximum hypothesis is selected for the recognition of the input seal. The methodology is tested to index seal in rotation and size invariant environment and we obtained encouraging results. |
| Address |
Barcelona, Spain |
| Corporate Author |
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Thesis |
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Place of Publication |
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Editor |
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Original Title |
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Series Issue |
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Edition |
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| ISSN |
1520-5363 |
ISBN |
978-1-4244-4500-4 |
Medium |
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| Area |
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Expedition |
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Conference |
ICDAR |
| Notes |
DAG |
Approved |
no |
| Call Number |
DAG @ dag @ RPL2009b |
Serial |
1239 |
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| Author |
Partha Pratim Roy; Umapada Pal; Josep Llados; Mathieu Nicolas Delalandre |
| Title |
Multi-Oriented and Multi-Sized Touching Character Segmentation using Dynamic Programming |
Type |
Conference Article |
| Year |
2009 |
Publication |
10th International Conference on Document Analysis and Recognition |
Abbreviated Journal |
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| Volume |
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Issue |
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Pages |
11–15 |
| Keywords |
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| Abstract |
In this paper, we present a scheme towards the segmentation of English multi-oriented touching strings into individual characters. When two or more characters touch, they generate a big cavity region at the background portion. Using Convex Hull information, we use these background information to find some initial points to segment a touching string into possible primitive segments (a primitive segment consists of a single character or a part of a character). Next these primitive segments are merged to get optimum segmentation and dynamic programming is applied using total likelihood of characters as the objective function. SVM classifier is used to find the likelihood of a character. To consider multi-oriented touching strings the features used in the SVM are invariant to character orientation. Circular ring and convex hull ring based approach has been used along with angular information of the contour pixels of the character to make the feature rotation invariant. From the experiment, we obtained encouraging results. |
| Address |
Barcelona, Spain |
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Place of Publication |
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Editor |
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| Language |
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Original Title |
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Series Title |
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| Series Volume |
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Series Issue |
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Edition |
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| ISSN |
1520-5363 |
ISBN |
978-1-4244-4500-4 |
Medium |
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| Area |
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Expedition |
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Conference |
ICDAR |
| Notes |
DAG |
Approved |
no |
| Call Number |
DAG @ dag @ RPL2009a |
Serial |
1240 |
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| Author |
Carlo Gatta; Petia Radeva |
| Title |
Bilateral Enhancers |
Type |
Conference Article |
| Year |
2009 |
Publication |
16th IEEE International Conference on Image Processing |
Abbreviated Journal |
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| Volume |
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Issue |
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Pages |
3161-3165 |
| Keywords |
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| Abstract |
Ten years ago the concept of bilateral filtering (BF) became popular in the image processing community. The core of the idea is to blend the effect of a spatial filter, as e.g. the Gaussian filter, with the effect of a filter that acts on image values. The two filters acts on orthogonal domains of a picture: the 2D lattice of the image support and the intensity (or color) domain. The BF approach is an intuitive way to blend these two filters giving rise to algorithms that perform difficult tasks requiring a relatively simple design. In this paper we extend the concept of BF, proposing the bilateral enhancers (BE). We show how to design proper functions to obtain an edge-preserving smoothing and a selective sharpening. Moreover, we show that the proposed algorithm can perform edge-preserving smoothing and selective sharpening simultaneously in a single filtering. |
| Address |
Cairo, Egypt |
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Thesis |
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Place of Publication |
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Editor |
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Original Title |
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Series Title |
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Abbreviated Series Title |
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Series Issue |
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Edition |
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| ISSN |
1522-4880 |
ISBN |
978-1-4244-5653-6 |
Medium |
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| Area |
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Expedition |
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Conference |
ICIP |
| Notes |
MILAB |
Approved |
no |
| Call Number |
BCNPCL @ bcnpcl @ GaR2009b |
Serial |
1243 |
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| Author |
Arnau Ramisa; Adriana Tapus; David Aldavert; Ricardo Toledo; Ramon Lopez de Mantaras |
| Title |
Robust Vision-Based Localization using Combinations of Local Feature Regions Detectors |
Type |
Journal Article |
| Year |
2009 |
Publication |
Autonomous Robots |
Abbreviated Journal |
AR |
| Volume |
27 |
Issue |
4 |
Pages |
373-385 |
| Keywords |
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| Abstract |
This paper presents a vision-based approach for mobile robot localization. The model of the environment is topological. The new approach characterizes a place using a signature. This signature consists of a constellation of descriptors computed over different types of local affine covariant regions extracted from an omnidirectional image acquired rotating a standard camera with a pan-tilt unit. This type of representation permits a reliable and distinctive environment modelling. Our objectives were to validate the proposed method in indoor environments and, also, to find out if the combination of complementary local feature region detectors improves the localization versus using a single region detector. Our experimental results show that if false matches are effectively rejected, the combination of different covariant affine region detectors increases notably the performance of the approach by combining the different strengths of the individual detectors. In order to reduce the localization time, two strategies are evaluated: re-ranking the map nodes using a global similarity measure and using standard perspective view field of 45°.
In order to systematically test topological localization methods, another contribution proposed in this work is a novel method to see the degradation in localization performance as the robot moves away from the point where the original signature was acquired. This allows to know the robustness of the proposed signature. In order for this to be effective, it must be done in several, variated, environments that test all the possible situations in which the robot may have to perform localization. |
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Place of Publication |
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Summary Language |
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Original Title |
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Series Title |
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Abbreviated Series Title |
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Series Issue |
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Edition |
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| ISSN |
0929-5593 |
ISBN |
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Medium |
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Conference |
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| Notes |
ADAS |
Approved |
no |
| Call Number |
Admin @ si @ RTA2009 |
Serial |
1245 |
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| Author |
David Aldavert; Ricardo Toledo; Arnau Ramisa; Ramon Lopez de Mantaras |
| Title |
Efficient Object Pixel-Level Categorization using Bag of Features: Advances in Visual Computing |
Type |
Conference Article |
| Year |
2009 |
Publication |
5th International Symposium on Visual Computing |
Abbreviated Journal |
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| Volume |
5875 |
Issue |
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Pages |
44–55 |
| Keywords |
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| Abstract |
In this paper we present a pixel-level object categorization method suitable to be applied under real-time constraints. Since pixels are categorized using a bag of features scheme, the major bottleneck of such an approach would be the feature pooling in local histograms of visual words. Therefore, we propose to bypass this time-consuming step and directly obtain the score from a linear Support Vector Machine classifier. This is achieved by creating an integral image of the components of the SVM which can readily obtain the classification score for any image sub-window with only 10 additions and 2 products, regardless of its size. Besides, we evaluated the performance of two efficient feature quantization methods: the Hierarchical K-Means and the Extremely Randomized Forest. All experiments have been done in the Graz02 database, showing comparable, or even better results to related work with a lower computational cost. |
| Address |
Las Vegas, USA |
| Corporate Author |
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Thesis |
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| Publisher |
Springer Berlin Heidelberg |
Place of Publication |
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Editor |
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Summary Language |
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Original Title |
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Series Title |
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Abbreviated Series Title |
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Series Issue |
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Edition |
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| ISSN |
0302-9743 |
ISBN |
978-3-642-10330-8 |
Medium |
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| Area |
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Expedition |
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Conference |
ISVC |
| Notes |
ADAS |
Approved |
no |
| Call Number |
Admin @ si @ ATR2009a |
Serial |
1246 |
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| Author |
David Aldavert; Ricardo Toledo; Arnau Ramisa; Ramon Lopez de Mantaras |
| Title |
Visual Registration Method For A Low Cost Robot: Computer Vision Systems |
Type |
Conference Article |
| Year |
2009 |
Publication |
7th International Conference on Computer Vision Systems |
Abbreviated Journal |
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| Volume |
5815 |
Issue |
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Pages |
204–214 |
| Keywords |
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| Abstract |
An autonomous mobile robot must face the correspondence or data association problem in order to carry out tasks like place recognition or unknown environment mapping. In order to put into correspondence two maps, most methods estimate the transformation relating the maps from matches established between low level feature extracted from sensor data. However, finding explicit matches between features is a challenging and computationally expensive task. In this paper, we propose a new method to align obstacle maps without searching explicit matches between features. The maps are obtained from a stereo pair. Then, we use a vocabulary tree approach to identify putative corresponding maps followed by the Newton minimization algorithm to find the transformation that relates both maps. The proposed method is evaluated in a typical office environment showing good performance. |
| Address |
Belgica |
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Thesis |
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| Publisher |
Springer Berlin Heidelberg |
Place of Publication |
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Original Title |
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Abbreviated Series Title |
LNCS |
| Series Volume |
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Series Issue |
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Edition |
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| ISSN |
0302-9743 |
ISBN |
978-3-642-04666-7 |
Medium |
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Expedition |
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Conference |
ICVS |
| Notes |
ADAS |
Approved |
no |
| Call Number |
Admin @ si @ ATR2009b |
Serial |
1247 |
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| Author |
Arnau Ramisa; Shrihari Vasudevan; David Aldavert; Ricardo Toledo; Ramon Lopez de Mantaras |
| Title |
Evaluation of the SIFT Object Recognition Method in Mobile Robots: Frontiers in Artificial Intelligence and Applications |
Type |
Conference Article |
| Year |
2009 |
Publication |
12th International Conference of the Catalan Association for Artificial Intelligence |
Abbreviated Journal |
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| Volume |
202 |
Issue |
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Pages |
9-18 |
| Keywords |
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| Abstract |
General object recognition in mobile robots is of primary importance in order to enhance the representation of the environment that robots will use for their reasoning processes. Therefore, we contribute reduce this gap by evaluating the SIFT Object Recognition method in a challenging dataset, focusing on issues relevant to mobile robotics. Resistance of the method to the robotics working conditions was found, but it was limited mainly to well-textured objects. |
| Address |
Cardona, Spain |
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Series Issue |
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Edition |
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| ISSN |
0922-6389 |
ISBN |
978-1-60750-061-2 |
Medium |
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Expedition |
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Conference |
CCIA |
| Notes |
ADAS |
Approved |
no |
| Call Number |
Admin @ si @ RVA2009 |
Serial |
1248 |
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| Author |
Carlo Gatta; Oriol Pujol; O. Rodriguez-Leor; J. M. Ferre; Petia Radeva |
| Title |
Fast Rigid Registration of Vascular Structures in IVUS Sequences |
Type |
Journal Article |
| Year |
2009 |
Publication |
IEEE Transactions on Information Technology in Biomedicine |
Abbreviated Journal |
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| Volume |
13 |
Issue |
6 |
Pages |
106-1011 |
| Keywords |
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| Abstract |
Intravascular ultrasound (IVUS) technology permits visualization of high-resolution images of internal vascular structures. IVUS is a unique image-guiding tool to display longitudinal view of the vessels, and estimate the length and size of vascular structures with the goal of accurate diagnosis. Unfortunately, due to pulsatile contraction and expansion of the heart, the captured images are affected by different motion artifacts that make visual inspection difficult. In this paper, we propose an efficient algorithm that aligns vascular structures and strongly reduces the saw-shaped oscillation, simplifying the inspection of longitudinal cuts; it reduces the motion artifacts caused by the displacement of the catheter in the short-axis plane and the catheter rotation due to vessel tortuosity. The algorithm prototype aligns 3.16 frames/s and clearly outperforms state-of-the-art methods with similar computational cost. The speed of the algorithm is crucial since it allows to inspect the corrected sequence during patient intervention. Moreover, we improved an indirect methodology for IVUS rigid registration algorithm evaluation. |
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Place of Publication |
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Original Title |
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| Series Editor |
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Series Title |
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Abbreviated Series Title |
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| Series Volume |
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Series Issue |
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Edition |
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| ISSN |
1089-7771 |
ISBN |
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Medium |
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| Area |
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Expedition |
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Conference |
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| Notes |
MILAB;HuPBA |
Approved |
no |
| Call Number |
BCNPCL @ bcnpcl @ GPL2009 |
Serial |
1250 |
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| Author |
Fosca De Iorio; C. Malagelada; Fernando Azpiroz; M. Maluenda; C. Violanti; Laura Igual; Jordi Vitria; Juan R. Malagelada |
| Title |
Intestinal motor activity, endoluminal motion and transit |
Type |
Journal Article |
| Year |
2009 |
Publication |
Neurogastroenterology & Motility |
Abbreviated Journal |
NEUMOT |
| Volume |
21 |
Issue |
12 |
Pages |
1264–e119 |
| Keywords |
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| Abstract |
A programme for evaluation of intestinal motility has been recently developed based on endoluminal image analysis using computer vision methodology and machine learning techniques. Our aim was to determine the effect of intestinal muscle inhibition on wall motion, dynamics of luminal content and transit in the small bowel. Fourteen healthy subjects ingested the endoscopic capsule (Pillcam, Given Imaging) in fasting conditions. Seven of them received glucagon (4.8 microg kg(-1) bolus followed by a 9.6 microg kg(-1) h(-1) infusion during 1 h) and in the other seven, fasting activity was recorded, as controls. This dose of glucagon has previously shown to inhibit both tonic and phasic intestinal motor activity. Endoluminal image and displacement was analyzed by means of a computer vision programme specifically developed for the evaluation of muscular activity (contractile and non-contractile patterns), intestinal contents, endoluminal motion and transit. Thirty-minute periods before, during and after glucagon infusion were analyzed and compared with equivalent periods in controls. No differences were found in the parameters measured during the baseline (pretest) periods when comparing glucagon and control experiments. During glucagon infusion, there was a significant reduction in contractile activity (0.2 +/- 0.1 vs 4.2 +/- 0.9 luminal closures per min, P < 0.05; 0.4 +/- 0.1 vs 3.4 +/- 1.2% of images with radial wrinkles, P < 0.05) and a significant reduction of endoluminal motion (82 +/- 9 vs 21 +/- 10% of static images, P < 0.05). Endoluminal image analysis, by means of computer vision and machine learning techniques, can reliably detect reduced intestinal muscle activity and motion. |
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Edition |
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ISBN |
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Conference |
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| Notes |
OR;MILAB;MV |
Approved |
no |
| Call Number |
BCNPCL @ bcnpcl @ DMA2009 |
Serial |
1251 |
| Permanent link to this record |
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| Author |
Oriol Pujol; David Masip |
| Title |
Geometry-Based Ensembles: Toward a Structural Characterization of the Classification Boundary |
Type |
Journal Article |
| Year |
2009 |
Publication |
IEEE Transactions on Pattern Analysis and Machine Intelligence |
Abbreviated Journal |
TPAMI |
| Volume |
31 |
Issue |
6 |
Pages |
1140–1146 |
| Keywords |
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| Abstract |
This article introduces a novel binary discriminative learning technique based on the approximation of the non-linear decision boundary by a piece-wise linear smooth additive model. The decision border is geometrically defined by means of the characterizing boundary points – points that belong to the optimal boundary under a certain notion of robustness. Based on these points, a set of locally robust linear classifiers is defined and assembled by means of a Tikhonov regularized optimization procedure in an additive model to create a final lambda-smooth decision rule. As a result, a very simple and robust classifier with a strong geometrical meaning and non-linear behavior is obtained. The simplicity of the method allows its extension to cope with some of nowadays machine learning challenges, such as online learning, large scale learning or parallelization, with linear computational complexity. We validate our approach on the UCI database. Finally, we apply our technique in online and large scale scenarios, and in six real life computer vision and pattern recognition problems: gender recognition, intravascular ultrasound tissue classification, speed traffic sign detection, Chagas' disease severity detection, clef classification and action recognition using a 3D accelerometer data. The results are promising and this paper opens a line of research that deserves further attention |
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OR;HuPBA;MV |
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BCNPCL @ bcnpcl @ PuM2009 |
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1252 |
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