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Author |
Oscar Amoros; Sergio Escalera; Anna Puig |
![find record details (via OpenURL) openurl](img/xref.gif)
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Title |
Adaboost GPU-based Classifier for Direct Volume Rendering |
Type ![sorted by Type field, descending order (down)](img/sort_desc.gif) |
Conference Article |
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Year |
2011 |
Publication |
International Conference on Computer Graphics Theory and Applications |
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Pages |
215-219 |
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In volume visualization, the voxel visibitity and materials are carried out through an interactive editing of Transfer Function. In this paper, we present a two-level GPU-based labeling method that computes in times of rendering a set of labeled structures using the Adaboost machine learning classifier. In a pre-processing step, Adaboost trains a binary classifier from a pre-labeled dataset and, in each sample, takes into account a set of features. This binary classifier is a weighted combination of weak classifiers, which can be expressed as simple decision functions estimated on a single feature values. Then, at the testing stage, each weak classifier is independently applied on the features of a set of unlabeled samples. We propose an alternative representation of these classifiers that allow a GPU-based parallelizated testing stage embedded into the visualization pipeline. The empirical results confirm the OpenCL-based classification of biomedical datasets as a tough problem where an opportunity for further research emerges. |
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Algarve, Portugal |
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GRAPP |
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MILAB; HuPBA |
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no |
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Call Number |
Admin @ si @ AEP2011 |
Serial |
1774 |
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Author |
Arnau Ramisa; David Aldavert; Shrihari Vasudevan; Ricardo Toledo; Ramon Lopez de Mantaras |
![goto web page url](img/www.gif)
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Title |
The IIIA30 MObile Robot Object Recognition Datset |
Type ![sorted by Type field, descending order (down)](img/sort_desc.gif) |
Conference Article |
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Year |
2011 |
Publication |
11th Portuguese Robotics Open |
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Object perception is a key feature in order to make mobile robots able to perform high-level tasks. However, research aimed at addressing the constraints and limitations encountered in a mobile robotics scenario, like low image resolution, motion blur or tight computational constraints, is still very scarce. In order to facilitate future research in this direction, in this work we present an object detection and recognition dataset acquired using a mobile robotic platform. As a baseline for the dataset, we evaluated the cascade of weak classifiers object detection method from Viola and Jones. |
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Lisboa |
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Robotica |
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RV;ADAS |
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no |
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Call Number |
Admin @ si @ RAV2011 |
Serial |
1777 |
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Author |
Joost Van de Weijer; Shida Beigpour |
![download PDF file pdf](img/file_PDF.gif)
![find book details (via ISBN) isbn](img/isbn.gif)
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Title |
The Dichromatic Reflection Model: Future Research Directions and Applications |
Type ![sorted by Type field, descending order (down)](img/sort_desc.gif) |
Conference Article |
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Year |
2011 |
Publication |
International Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications |
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dblp |
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The dichromatic reflection model (DRM) predicts that color distributions form a parallelogram in color space, whose shape is defined by the body reflectance and the illuminant color. In this paper we resume the assumptions which led to the DRM and shortly recall two of its main applications domains: color image segmentation and photometric invariant feature computation. After having introduced the model we discuss several limitations of the theory, especially those which are raised once working on real-world uncalibrated images. In addition, we summerize recent extensions of the model which allow to handle more complicated light interactions. Finally, we suggest some future research directions which would further extend its applicability. |
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Algarve, Portugal |
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SciTePress |
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Mestetskiy, Leonid and Braz, José |
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978-989-8425-47-8 |
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VISIGRAPP |
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CIC |
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no |
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Call Number |
Admin @ si @ WeB2011 |
Serial |
1778 |
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Author |
Koen E.A. van de Sande; Jasper Uilings; Theo Gevers; Arnold Smeulders |
![goto web page (via DOI) doi](img/doi.gif)
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Title |
Segmentation as Selective Search for Object Recognition |
Type ![sorted by Type field, descending order (down)](img/sort_desc.gif) |
Conference Article |
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Year |
2011 |
Publication |
13th IEEE International Conference on Computer Vision |
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Volume |
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Pages |
1879-1886 |
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For object recognition, the current state-of-the-art is based on exhaustive search. However, to enable the use of more expensive features and classifiers and thereby progress beyond the state-of-the-art, a selective search strategy is needed. Therefore, we adapt segmentation as a selective search by reconsidering segmentation: We propose to generate many approximate locations over few and precise object delineations because (1) an object whose location is never generated can not be recognised and (2) appearance and immediate nearby context are most effective for object recognition. Our method is class-independent and is shown to cover 96.7% of all objects in the Pascal VOC 2007 test set using only 1,536 locations per image. Our selective search enables the use of the more expensive bag-of-words method which we use to substantially improve the state-of-the-art by up to 8.5% for 8 out of 20 classes on the Pascal VOC 2010 detection challenge. |
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Barcelona |
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ISSN |
1550-5499 |
ISBN |
978-1-4577-1101-5 |
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Conference |
ICCV |
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Notes |
ISE |
Approved |
no |
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Call Number |
Admin @ si @ SUG2011 |
Serial |
1780 |
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Permanent link to this record |
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Author |
Shida Beigpour; Joost Van de Weijer |
![download PDF file pdf](img/file_PDF.gif)
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Title |
Object Recoloring Based on Intrinsic Image Estimation |
Type ![sorted by Type field, descending order (down)](img/sort_desc.gif) |
Conference Article |
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Year |
2011 |
Publication |
13th IEEE International Conference in Computer Vision |
Abbreviated Journal |
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Volume |
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Pages |
327 - 334 |
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Object recoloring is one of the most popular photo-editing tasks. The problem of object recoloring is highly under-constrained, and existing recoloring methods limit their application to objects lit by a white illuminant. Application of these methods to real-world scenes lit by colored illuminants, multiple illuminants, or interreflections, results in unrealistic recoloring of objects. In this paper, we focus on the recoloring of single-colored objects presegmented from their background. The single-color constraint allows us to fit a more comprehensive physical model to the object. We demonstrate that this permits us to perform realistic recoloring of objects lit by non-white illuminants, and multiple illuminants. Moreover, the model allows for more realistic handling of illuminant alteration of the scene. Recoloring results captured by uncalibrated cameras demonstrate that the proposed framework obtains realistic recoloring for complex natural images. Furthermore we use the model to transfer color between objects and show that the results are more realistic than existing color transfer methods. |
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Barcelona |
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1550-5499 |
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978-1-4577-1101-5 |
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ICCV |
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Notes |
CIC |
Approved |
no |
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Call Number |
Admin @ si @ BeW2011 |
Serial |
1781 |
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Permanent link to this record |
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Author |
Mohammad Rouhani; Angel Sappa |
![find record details (via OpenURL) openurl](img/xref.gif)
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Title |
Implicit B-Spline Fitting Using the 3L Algorithm |
Type ![sorted by Type field, descending order (down)](img/sort_desc.gif) |
Conference Article |
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Year |
2011 |
Publication |
18th IEEE International Conference on Image Processing |
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Pages |
893-896 |
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Address |
Brussels, Belgium |
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ICIP |
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Notes |
ADAS |
Approved |
no |
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Call Number |
Admin @ si @ RoS2011a; ADAS @ adas @ |
Serial |
1782 |
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Author |
Marçal Rusiñol; David Aldavert; Ricardo Toledo; Josep Llados |
![goto web page url](img/www.gif)
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Title |
Browsing Heterogeneous Document Collections by a Segmentation-Free Word Spotting Method |
Type ![sorted by Type field, descending order (down)](img/sort_desc.gif) |
Conference Article |
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Year |
2011 |
Publication |
11th International Conference on Document Analysis and Recognition |
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63-67 |
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In this paper, we present a segmentation-free word spotting method that is able to deal with heterogeneous document image collections. We propose a patch-based framework where patches are represented by a bag-of-visual-words model powered by SIFT descriptors. A later refinement of the feature vectors is performed by applying the latent semantic indexing technique. The proposed method performs well on both handwritten and typewritten historical document images. We have also tested our method on documents written in non-Latin scripts. |
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Address |
Beijing, China |
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ICDAR |
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Notes |
DAG;ADAS |
Approved |
no |
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Call Number |
Admin @ si @ RAT2011 |
Serial |
1788 |
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Permanent link to this record |
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Author |
Volkmar Frinken; Andreas Fischer; Horst Bunke; Alicia Fornes |
![goto web page (via DOI) doi](img/doi.gif)
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Title |
Co-training for Handwritten Word Recognition |
Type ![sorted by Type field, descending order (down)](img/sort_desc.gif) |
Conference Article |
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Year |
2011 |
Publication |
11th International Conference on Document Analysis and Recognition |
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Pages |
314-318 |
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Abstract |
To cope with the tremendous variations of writing styles encountered between different individuals, unconstrained automatic handwriting recognition systems need to be trained on large sets of labeled data. Traditionally, the training data has to be labeled manually, which is a laborious and costly process. Semi-supervised learning techniques offer methods to utilize unlabeled data, which can be obtained cheaply in large amounts in order, to reduce the need for labeled data. In this paper, we propose the use of Co-Training for improving the recognition accuracy of two weakly trained handwriting recognition systems. The first one is based on Recurrent Neural Networks while the second one is based on Hidden Markov Models. On the IAM off-line handwriting database we demonstrate a significant increase of the recognition accuracy can be achieved with Co-Training for single word recognition. |
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Beijing, China |
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ICDAR |
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Notes |
DAG |
Approved |
no |
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Call Number |
Admin @ si @ FFB2011 |
Serial |
1789 |
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Permanent link to this record |
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Author |
Muhammad Muzzamil Luqman; Jean-Yves Ramel; Josep Llados; Thierry Brouard |
![goto web page (via DOI) doi](img/doi.gif)
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Title |
Subgraph Spotting Through Explicit Graph Embedding: An Application to Content Spotting in Graphic Document Images |
Type ![sorted by Type field, descending order (down)](img/sort_desc.gif) |
Conference Article |
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Year |
2011 |
Publication |
11th International Conference on Document Analysis and Recognition |
Abbreviated Journal |
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Volume |
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Issue |
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Pages |
870-874 |
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Abstract |
We present a method for spotting a subgraph in a graph repository. Subgraph spotting is a very interesting research problem for various application domains where the use of a relational data structure is mandatory. Our proposed method accomplishes subgraph spotting through graph embedding. We achieve automatic indexation of a graph repository during off-line learning phase, where we (i) break the graphs into 2-node sub graphs (a.k.a. cliques of order 2), which are primitive building-blocks of a graph, (ii) embed the 2-node sub graphs into feature vectors by employing our recently proposed explicit graph embedding technique, (iii) cluster the feature vectors in classes by employing a classic agglomerative clustering technique, (iv) build an index for the graph repository and (v) learn a Bayesian network classifier. The subgraph spotting is achieved during the on-line querying phase, where we (i) break the query graph into 2-node sub graphs, (ii) embed them into feature vectors, (iii) employ the Bayesian network classifier for classifying the query 2-node sub graphs and (iv) retrieve the respective graphs by looking-up in the index of the graph repository. The graphs containing all query 2-node sub graphs form the set of result graphs for the query. Finally, we employ the adjacency matrix of each result graph along with a score function, for spotting the query graph in it. The proposed subgraph spotting method is equally applicable to a wide range of domains, offering ease of query by example (QBE) and granularity of focused retrieval. Experimental results are presented for graphs generated from two repositories of electronic and architectural document images. |
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Beijing, China |
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ISSN |
1520-5363 |
ISBN |
978-1-4577-1350-7 |
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ICDAR |
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DAG |
Approved |
no |
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Call Number |
Admin @ si @ LRL2011 |
Serial |
1790 |
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Permanent link to this record |
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Author |
Anjan Dutta; Josep Llados; Umapada Pal |
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Title |
Symbol Spotting in Line Drawings Through Graph Paths Hashing |
Type ![sorted by Type field, descending order (down)](img/sort_desc.gif) |
Conference Article |
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Year |
2011 |
Publication |
11th International Conference on Document Analysis and Recognition |
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Pages |
982-986 |
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In this paper we propose a symbol spotting technique through hashing the shape descriptors of graph paths (Hamiltonian paths). Complex graphical structures in line drawings can be efficiently represented by graphs, which ease the accurate localization of the model symbol. Graph paths are the factorized substructures of graphs which enable robust recognition even in the presence of noise and distortion. In our framework, the entire database of the graphical documents is indexed in hash tables by the locality sensitive hashing (LSH) of shape descriptors of the paths. The hashing data structure aims to execute an approximate k-NN search in a sub-linear time. The spotting method is formulated by a spatial voting scheme to the list of locations of the paths that are decided during the hash table lookup process. We perform detailed experiments with various dataset of line drawings and the results demonstrate the effectiveness and efficiency of the technique. |
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Beijing, China |
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1520-5363 |
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978-1-4577-1350-7 |
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ICDAR |
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DAG |
Approved |
no |
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Call Number |
Admin @ si @ DLP2011b |
Serial |
1791 |
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Permanent link to this record |
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Author |
Lluis Pere de las Heras; Joan Mas; Gemma Sanchez; Ernest Valveny |
![goto web page url](img/www.gif)
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Title |
Wall Patch-Based Segmentation in Architectural Floorplans |
Type ![sorted by Type field, descending order (down)](img/sort_desc.gif) |
Conference Article |
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Year |
2011 |
Publication |
11th International Conference on Document Analysis and Recognition |
Abbreviated Journal |
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Pages |
1270-1274 |
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Segmentation of architectural floor plans is a challenging task, mainly because of the large variability in the notation between different plans. In general, traditional techniques, usually based on analyzing and grouping structural primitives obtained by vectorization, are only able to handle a reduced range of similar notations. In this paper we propose an alternative patch-based segmentation approach working at pixel level, without need of vectorization. The image is divided into a set of patches and a set of features is extracted for every patch. Then, each patch is assigned to a visual word of a previously learned vocabulary and given a probability of belonging to each class of objects. Finally, a post-process assigns the final label for every pixel. This approach has been applied to the detection of walls on two datasets of architectural floor plans with different notations, achieving high accuracy rates. |
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Beiging, China |
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1520-5363 |
ISBN |
978-0-7695-4520-2 |
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ICDAR |
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DAG |
Approved |
no |
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Call Number |
Admin @ si @ HMS2011a |
Serial |
1792 |
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Author |
Dimosthenis Karatzas; Sergi Robles; Joan Mas; Farshad Nourbakhsh; Partha Pratim Roy |
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Title |
ICDAR 2011 Robust Reading Competition – Challege 1: Reading Text in Born-Digital Images (Web and Email) |
Type ![sorted by Type field, descending order (down)](img/sort_desc.gif) |
Conference Article |
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Year |
2011 |
Publication |
11th International Conference on Document Analysis and Recognition |
Abbreviated Journal |
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Pages |
1485-1490 |
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This paper presents the results of the first Challenge of ICDAR 2011 Robust Reading Competition. Challenge 1 is focused on the extraction of text from born-digital images, specifically from images found in Web pages and emails. The challenge was organized in terms of three tasks that look at different stages of the process: text localization, text segmentation and word recognition. In this paper we present the results of the challenge for all three tasks, and make an open call for continuous participation outside the context of ICDAR 2011. |
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Beijing, China |
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1520-5363 |
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978-1-4577-1350-7 |
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ICDAR |
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DAG |
Approved |
no |
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Call Number |
Admin @ si @ KRM2011 |
Serial |
1793 |
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Alicia Fornes; Anjan Dutta; Albert Gordo; Josep Llados |
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Title |
The ICDAR 2011 Music Scores Competition: Staff Removal and Writer Identification |
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2011 |
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11th International Conference on Document Analysis and Recognition |
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1511-1515 |
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In the last years, there has been a growing interest in the analysis of handwritten music scores. In this sense, our goal has been to foster the interest in the analysis of handwritten music scores by the proposal of two different competitions: Staff removal and Writer Identification. Both competitions have been tested on the CVC-MUSCIMA database: a ground-truth of handwritten music score images. This paper describes the competition details, including the dataset and ground-truth, the evaluation metrics, and a short description of the participants, their methods, and the obtained results. |
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Beijing, China |
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978-0-7695-4520-2 |
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ICDAR |
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DAG |
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Admin @ si @ FDG2011b |
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1794 |
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Francesco Ciompi; A. Palaioroutas; M. Loeve; Oriol Pujol; Petia Radeva; H. Tiddens; M. de Bruijne |
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Title |
Lung Tissue Classification in Severe Advanced Cystic Fibrosis from CT Scans |
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2011 |
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In MICCAI 2011 4th International Workshop on Pulmonary Image Analysis |
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Toronto, Canada |
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PIA |
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MILAB;HuPBA |
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Admin @ si @ CPL2011 |
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1798 |
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Simone Balocco; Carlo Gatta; Xavier Carrillo; J. Mauri; Petia Radeva |
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Title |
Plaque Type, Plaque Burden and Wall Shear Stress Relation in Coronary Arteries Assessed by X-ray Angiography and Intravascular Ultrasound: a Qualitative Study |
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2011 |
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14th International Symposium on Applied Sciences in Biomedical and Communication Technologies |
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In this paper, we present a complete framework that automatically provides fluid-dynamic and plaque analysis from IVUS and Angiographic sequences. Such framework is used to analyze, in three coronary arteries, the relation between wall shear stress with type and amount of plaque. Preliminary qualitative results show an inverse relation between the wall shear stress and the plaque burden, which is confirmed by the fact that the plaque growth is higher on the wall having concave curvature. Regarding the plaque type it was observed that regions having low shear stress are predominantly fibro-lipidic while the heavy calcifications are in general located in areas of the vessel having high WSS. |
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978-1-4503-0913-4 |
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ISABEL |
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MILAB |
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Admin @ si @ BGC2011b |
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1799 |
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