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Author | Ernest Valveny; Enric Marti | ||||
Title | Hand-drawn symbol recognition in graphic documents using deformable template matching and a Bayesian framework | Type ![]() |
Conference Article | ||
Year | 2000 | Publication | Proc. 15th Int Pattern Recognition Conf | Abbreviated Journal | |
Volume | 2 | Issue | Pages | 239-242 | |
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Abstract | Hand-drawn symbols can take many different and distorted shapes from their ideal representation. Then, very flexible methods are needed to be able to handle unconstrained drawings. We propose here to extend our previous work in hand-drawn symbol recognition based on a Bayesian framework and deformable template matching. This approach gets flexibility enough to fit distorted shapes in the drawing while keeping fidelity to the ideal shape of the symbol. In this work, we define the similarity measure between an image and a symbol based on the distance from every pixel in the image to the lines in the symbol. Matching is carried out using an implementation of the EM algorithm. Thus, we can improve recognition rates and computation time with respect to our previous formulation based on a simulated annealing algorithm. | ||||
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Series Volume | Series Issue | Edition | |||
ISSN | ISBN | 0-7695-0750-6 | Medium | ||
Area | Expedition | Conference | |||
Notes | DAG;IAM; | Approved | no | ||
Call Number | IAM @ iam @ VAM2000 | Serial | 1656 | ||
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Author | Ernest Valveny; Enric Marti | ||||
Title | Application of deformable template matching to symbol recognition in hand-written architectural draw | Type ![]() |
Conference Article | ||
Year | 1999 | Publication | Proceedings of the Fifth International Conference on | Abbreviated Journal | |
Volume | Issue | Pages | |||
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Abstract | We propose to use deformable template matching as a new approach to recognize characters and lineal symbols in hand-written line drawings, instead of traditional methods based on vectorization and feature extraction. Bayesian formulation of the deformable template matching allows combining fidelity to the ideal shape of the symbol with maximum flexibility to get the best fit to the input image. Lineal nature of symbols can be exploited to define a suitable representation of models and the set of deformations to be applied to them. Matching, however, is done over the original binary image to avoid losing relevant features during vectorization. We have applied this method to hand-written architectural drawings and experimental results demonstrate that symbols with high distortions from ideal shape can be accurately identified. | ||||
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Publisher | Place of Publication | Bangalore (India) | Editor | ||
Language | Summary Language | Original Title | |||
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Notes | DAG;IAM; | Approved | no | ||
Call Number | IAM @ iam @ VAM1999a | Serial | 1657 | ||
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Author | Ernest Valveny; Enric Marti | ||||
Title | Recognition of lineal symbols in hand-written drawings using deformable template matching | Type ![]() |
Conference Article | ||
Year | 1999 | Publication | Proceedings of the VIII Symposium Nacional de Reconocimiento de Formas y Análisis de Imágenes | Abbreviated Journal | |
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Notes | DAG;IAM; | Approved | no | ||
Call Number | IAM @ iam @ VAM1999 | Serial | 1658 | ||
Permanent link to this record | |||||
Author | Ernest Valveny; Enric Marti | ||||
Title | Dimensions analysis in hand-drawn architectural drawings | Type ![]() |
Conference Article | ||
Year | 1997 | Publication | VII National Simposium of Pattern Recognition and image Analysis, SNRFAI´97 | Abbreviated Journal | |
Volume | Issue | Pages | 90-91 | ||
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Publisher | Place of Publication | CVC-UAB | Editor | ||
Language | Summary Language | Original Title | |||
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Notes | DAG;IAM; | Approved | no | ||
Call Number | IAM @ iam @ VAM1997 | Serial | 1659 | ||
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Author | Ernest Valveny; Ricardo Toledo; Ramon Baldrich; Enric Marti | ||||
Title | Combining recognition-based in segmentation-based approaches for graphic symol recognition using deformable template matching | Type ![]() |
Conference Article | ||
Year | 2002 | Publication | Proceeding of the Second IASTED International Conference Visualization, Imaging and Image Proceesing VIIP 2002 | Abbreviated Journal | |
Volume | Issue | Pages | 502–507 | ||
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Area | Expedition | Conference | |||
Notes | DAG;RV;CAT;IAM;CIC;ADAS | Approved | no | ||
Call Number | IAM @ iam @ VTB2002 | Serial | 1660 | ||
Permanent link to this record | |||||
Author | Sergio Escalera; Jordi Gonzalez; Xavier Baro; Miguel Reyes; Oscar Lopes; Isabelle Guyon; V. Athitsos; Hugo Jair Escalante | ||||
Title | Multi-modal Gesture Recognition Challenge 2013: Dataset and Results | Type ![]() |
Conference Article | ||
Year | 2013 | Publication | 15th ACM International Conference on Multimodal Interaction | Abbreviated Journal | |
Volume | Issue | Pages | 445-452 | ||
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Abstract | The recognition of continuous natural gestures is a complex and challenging problem due to the multi-modal nature of involved visual cues (e.g. fingers and lips movements, subtle facial expressions, body pose, etc.), as well as technical limitations such as spatial and temporal resolution and unreliable
depth cues. In order to promote the research advance on this field, we organized a challenge on multi-modal gesture recognition. We made available a large video database of 13; 858 gestures from a lexicon of 20 Italian gesture categories recorded with a KinectTM camera, providing the audio, skeletal model, user mask, RGB and depth images. The focus of the challenge was on user independent multiple gesture learning. There are no resting positions and the gestures are performed in continuous sequences lasting 1-2 minutes, containing between 8 and 20 gesture instances in each sequence. As a result, the dataset contains around 1:720:800 frames. In addition to the 20 main gesture categories, ‘distracter’ gestures are included, meaning that additional audio and gestures out of the vocabulary are included. The final evaluation of the challenge was defined in terms of the Levenshtein edit distance, where the goal was to indicate the real order of gestures within the sequence. 54 international teams participated in the challenge, and outstanding results were obtained by the first ranked participants. |
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Address | Sidney; Australia; December 2013 | ||||
Corporate Author | Thesis | ||||
Publisher | Place of Publication | Editor | |||
Language | Summary Language | Original Title | |||
Series Editor | Series Title | Abbreviated Series Title | |||
Series Volume | Series Issue | Edition | |||
ISSN | ISBN | 978-1-4503-2129-7 | Medium | ||
Area | Expedition | Conference | ICMI | ||
Notes | HUPBA; ISE; 600.063;MV | Approved | no | ||
Call Number | Admin @ si @ EGB2013 | Serial | 2373 | ||
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Author | Onur Ferhat; Fernando Vilariño | ||||
Title | A Cheap Portable Eye-Tracker Solution for Common Setups | Type ![]() |
Conference Article | ||
Year | 2013 | Publication | 17th European Conference on Eye Movements | Abbreviated Journal | |
Volume | Issue | Pages | |||
Keywords | Low cost; eye-tracker; software; webcam; Raspberry Pi | ||||
Abstract | We analyze the feasibility of a cheap eye-tracker where the hardware consists of a single webcam and a Raspberry Pi device. Our aim is to discover the limits of such a system and to see whether it provides an acceptable performance. We base our work on the open source Opengazer (Zielinski, 2013) and we propose several improvements to create a robust, real-time system. After assessing the accuracy of our eye-tracker in elaborated experiments involving 18 subjects under 4 different system setups, we developed a simple game to see how it performs in practice and we also installed it on a Raspberry Pi to create a portable stand-alone eye-tracker which achieves 1.62° horizontal accuracy with 3 fps refresh rate for a building cost of 70 Euros. | ||||
Address | Lund; Sweden; August 2013 | ||||
Corporate Author | Thesis | ||||
Publisher | Place of Publication | Editor | |||
Language | Summary Language | Original Title | |||
Series Editor | Series Title | Abbreviated Series Title | |||
Series Volume | Series Issue | Edition | |||
ISSN | ISBN | Medium | |||
Area | Expedition | Conference | ECEM | ||
Notes | MV;SIAI | Approved | no | ||
Call Number | Admin @ si @ FeV2013 | Serial | 2374 | ||
Permanent link to this record | |||||
Author | Aura Hernandez-Sabate; Debora Gil; David Roche; Monica M. S. Matsumoto; Sergio S. Furuie | ||||
Title | Inferring the Performance of Medical Imaging Algorithms | Type ![]() |
Conference Article | ||
Year | 2011 | Publication | 14th International Conference on Computer Analysis of Images and Patterns | Abbreviated Journal | |
Volume | 6854 | Issue | Pages | 520-528 | |
Keywords | Validation, Statistical Inference, Medical Imaging Algorithms. | ||||
Abstract | Evaluation of the performance and limitations of medical imaging algorithms is essential to estimate their impact in social, economic or clinical aspects. However, validation of medical imaging techniques is a challenging task due to the variety of imaging and clinical problems involved, as well as, the difficulties for systematically extracting a reliable solely ground truth. Although specific validation protocols are reported in any medical imaging paper, there are still two major concerns: definition of standardized methodologies transversal to all problems and generalization of conclusions to the whole clinical data set.
We claim that both issues would be fully solved if we had a statistical model relating ground truth and the output of computational imaging techniques. Such a statistical model could conclude to what extent the algorithm behaves like the ground truth from the analysis of a sampling of the validation data set. We present a statistical inference framework reporting the agreement and describing the relationship of two quantities. We show its transversality by applying it to validation of two different tasks: contour segmentation and landmark correspondence. |
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Address | Sevilla | ||||
Corporate Author | Thesis | ||||
Publisher | Springer-Verlag Berlin Heidelberg | Place of Publication | Berlin | Editor | Pedro Real; Daniel Diaz-Pernil; Helena Molina-Abril; Ainhoa Berciano; Walter Kropatsch |
Language | Summary Language | Original Title | |||
Series Editor | Series Title | L | Abbreviated Series Title | LNCS | |
Series Volume | Series Issue | Edition | |||
ISSN | ISBN | Medium | |||
Area | Expedition | Conference | CAIP | ||
Notes | IAM; ADAS | Approved | no | ||
Call Number | IAM @ iam @ HGR2011 | Serial | 1676 | ||
Permanent link to this record | |||||
Author | David Roche; Debora Gil; Jesus Giraldo | ||||
Title | An inference model for analyzing termination conditions of Evolutionary Algorithms | Type ![]() |
Conference Article | ||
Year | 2011 | Publication | 14th Congrès Català en Intel·ligencia Artificial | Abbreviated Journal | |
Volume | Issue | Pages | 216-225 | ||
Keywords | Evolutionary Computation Convergence, Termination Conditions, Statistical Inference | ||||
Abstract | In real-world problems, it is mandatory to design a termination condition for Evolutionary Algorithms (EAs) ensuring stabilization close to the unknown optimum. Distribution-based quantities are good candidates as far as suitable parameters are used. A main limitation for application to real-world problems is that such parameters strongly depend on the topology of the objective function, as well as, the EA paradigm used.
We claim that the termination problem would be fully solved if we had a model measuring to what extent a distribution-based quantity asymptotically behaves like the solution accuracy. We present a regression-prediction model that relates any two given quantities and reports if they can be statistically swapped as termination conditions. Our framework is applied to two issues. First, exploring if the parameters involved in the computation of distribution-based quantities influence their asymptotic behavior. Second, to what extent existing distribution-based quantities can be asymptotically exchanged for the accuracy of the EA solution. |
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Address | Lleida, Catalonia (Spain) | ||||
Corporate Author | Associació Catalana Intel·ligència Artificial | Thesis | |||
Publisher | Place of Publication | Editor | |||
Language | Summary Language | Original Title | |||
Series Editor | Series Title | Abbreviated Series Title | |||
Series Volume | Series Issue | Edition | |||
ISSN | ISBN | 978-1-60750-841-0 | Medium | ||
Area | Expedition | Conference | CCIA | ||
Notes | IAM | Approved | no | ||
Call Number | IAM @ iam @ RGG2011a | Serial | 1677 | ||
Permanent link to this record | |||||
Author | David Roche; Debora Gil; Jesus Giraldo | ||||
Title | Using statistical inference for designing termination conditions ensuring convergence of Evolutionary Algorithms | Type ![]() |
Conference Article | ||
Year | 2011 | Publication | 11th European Conference on Artificial Life | Abbreviated Journal | |
Volume | Issue | Pages | |||
Keywords | |||||
Abstract | A main challenge in Evolutionary Algorithms (EAs) is determining a termination condition ensuring stabilization close to the optimum in real-world applications. Although for known test functions distribution-based quantities are good candidates (as far as suitable parameters are used), in real-world problems an open question still remains unsolved. How can we estimate an upper-bound for the termination condition value ensuring a given accuracy for the (unknown) EA solution?
We claim that the termination problem would be fully solved if we defined a quantity (depending only on the EA output) behaving like the solution accuracy. The open question would be, then, satisfactorily answered if we had a model relating both quantities, since accuracy could be predicted from the alternative quantity. We present a statistical inference framework addressing two topics: checking the correlation between the two quantities and defining a regression model for predicting (at a given confidence level) accuracy values from the EA output. |
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Address | Paris, France | ||||
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Publisher | Place of Publication | Editor | |||
Language | Summary Language | Original Title | |||
Series Editor | Series Title | Abbreviated Series Title | |||
Series Volume | Series Issue | Edition | |||
ISSN | ISBN | Medium | |||
Area | Expedition | Conference | ECAL | ||
Notes | IAM; | Approved | no | ||
Call Number | IAM @ iam @ RGG2011b | Serial | 1678 | ||
Permanent link to this record | |||||
Author | Ferran Poveda; Debora Gil ;Albert Andaluz ;Enric Marti | ||||
Title | Multiscale Tractography for Representing Heart Muscular Architecture | Type ![]() |
Conference Article | ||
Year | 2011 | Publication | In MICCAI 2011 Workshop on Computational Diffusion MRI | Abbreviated Journal | |
Volume | Issue | Pages | |||
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Abstract | Deep understanding of myocardial structure of the heart would unravel crucial knowledge for clinical and medical procedures. Although the muscular architecture of the heart has been debated by countless researchers, the controversy is still alive. Diffusion Tensor MRI, DT-MRI, is a unique imaging technique for computational validation of the muscular structure of the heart. By the complex arrangement of myocites, existing techniques can not provide comprehensive descriptions of the global muscular architecture. In this paper we introduce a multiresolution reconstruction technique based on DT-MRI streamlining for simplified global myocardial model generation. Our reconstructions can restore the most complex myocardial structures and indicate a global helical organization | ||||
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Publisher | Place of Publication | Editor | |||
Language | English | Summary Language | english | Original Title | |
Series Editor | Series Title | Abbreviated Series Title | |||
Series Volume | Series Issue | Edition | |||
ISSN | ISBN | Medium | |||
Area | Expedition | Conference | CDRMI | ||
Notes | IAM | Approved | no | ||
Call Number | IAM @ iam @ PGA2011 | Serial | 1681 | ||
Permanent link to this record | |||||
Author | Patricia Marquez; Debora Gil; Aura Hernandez-Sabate | ||||
Title | A Confidence Measure for Assessing Optical Flow Accuracy in the Absence of Ground Truth | Type ![]() |
Conference Article | ||
Year | 2011 | Publication | IEEE International Conference on Computer Vision – Workshops | Abbreviated Journal | |
Volume | Issue | Pages | 2042-2049 | ||
Keywords | IEEE International Conference on Computer Vision – Workshops | ||||
Abstract | Optical flow is a valuable tool for motion analysis in autonomous navigation systems. A reliable application requires determining the accuracy of the computed optical flow. This is a main challenge given the absence of ground truth in real world sequences. This paper introduces a measure of optical flow accuracy for Lucas-Kanade based flows in terms of the numerical stability of the data-term. We call this measure optical flow condition number. A statistical analysis over ground-truth data show a good statistical correlation between the condition number and optical flow error. Experiments on driving sequences illustrate its potential for autonomous navigation systems. | ||||
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Publisher | IEEE | Place of Publication | Barcelona (Spain) | Editor | |
Language | English | Summary Language | English | Original Title | |
Series Editor | Series Title | Abbreviated Series Title | |||
Series Volume | Series Issue | Edition | |||
ISSN | ISBN | Medium | |||
Area | Expedition | Conference | ICCVW | ||
Notes | IAM; ADAS | Approved | no | ||
Call Number | IAM @ iam @ MGH2011 | Serial | 1682 | ||
Permanent link to this record | |||||
Author | David Vazquez; Antonio Lopez; Daniel Ponsa; Javier Marin | ||||
Title | Virtual Worlds and Active Learning for Human Detection | Type ![]() |
Conference Article | ||
Year | 2011 | Publication | 13th International Conference on Multimodal Interaction | Abbreviated Journal | |
Volume | Issue | Pages | 393-400 | ||
Keywords | Pedestrian Detection; Human detection; Virtual; Domain Adaptation; Active Learning | ||||
Abstract | Image based human detection is of paramount interest due to its potential applications in fields such as advanced driving assistance, surveillance and media analysis. However, even detecting non-occluded standing humans remains a challenge of intensive research. The most promising human detectors rely on classifiers developed in the discriminative paradigm, i.e., trained with labelled samples. However, labeling is a manual intensive step, especially in cases like human detection where it is necessary to provide at least bounding boxes framing the humans for training. To overcome such problem, some authors have proposed the use of a virtual world where the labels of the different objects are obtained automatically. This means that the human models (classifiers) are learnt using the appearance of rendered images, i.e., using realistic computer graphics. Later, these models are used for human detection in images of the real world. The results of this technique are surprisingly good. However, these are not always as good as the classical approach of training and testing with data coming from the same camera, or similar ones. Accordingly, in this paper we address the challenge of using a virtual world for gathering (while playing a videogame) a large amount of automatically labelled samples (virtual humans and background) and then training a classifier that performs equal, in real-world images, than the one obtained by equally training from manually labelled real-world samples. For doing that, we cast the problem as one of domain adaptation. In doing so, we assume that a small amount of manually labelled samples from real-world images is required. To collect these labelled samples we propose a non-standard active learning technique. Therefore, ultimately our human model is learnt by the combination of virtual and real world labelled samples (Fig. 1), which has not been done before. We present quantitative results showing that this approach is valid. | ||||
Address | Alicante, Spain | ||||
Corporate Author | Thesis | ||||
Publisher | ACM DL | Place of Publication | New York, NY, USA, USA | Editor | |
Language | English | Summary Language | English | Original Title | Virtual Worlds and Active Learning for Human Detection |
Series Editor | Series Title | Abbreviated Series Title | |||
Series Volume | Series Issue | Edition | |||
ISSN | ISBN | 978-1-4503-0641-6 | Medium | ||
Area | Expedition | Conference | ICMI | ||
Notes | ADAS | Approved | yes | ||
Call Number | ADAS @ adas @ VLP2011a | Serial | 1683 | ||
Permanent link to this record | |||||
Author | Andrew Nolan; Daniel Serrano; Aura Hernandez-Sabate; Daniel Ponsa; Antonio Lopez | ||||
Title | Obstacle mapping module for quadrotors on outdoor Search and Rescue operations | Type ![]() |
Conference Article | ||
Year | 2013 | Publication | International Micro Air Vehicle Conference and Flight Competition | Abbreviated Journal | |
Volume | Issue | Pages | |||
Keywords | UAV | ||||
Abstract | Obstacle avoidance remains a challenging task for Micro Aerial Vehicles (MAV), due to their limited payload capacity to carry advanced sensors. Unlike larger vehicles, MAV can only carry light weight sensors, for instance a camera, which is our main assumption in this work. We explore passive monocular depth estimation and propose a novel method Position Aided Depth Estimation
(PADE). We analyse PADE performance and compare it against the extensively used Time To Collision (TTC). We evaluate the accuracy, robustness to noise and speed of three Optical Flow (OF) techniques, combined with both depth estimation methods. Our results show PADE is more accurate than TTC at depths between 0-12 meters and is less sensitive to noise. Our findings highlight the potential application of PADE for MAV to perform safe autonomous navigation in unknown and unstructured environments. |
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Address | Toulouse; France; September 2013 | ||||
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Language | Summary Language | Original Title | |||
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ISSN | ISBN | Medium | |||
Area | Expedition | Conference | IMAV | ||
Notes | ADAS; 600.054; 600.057;IAM | Approved | no | ||
Call Number | Admin @ si @ NSH2013 | Serial | 2371 | ||
Permanent link to this record | |||||
Author | Naveen Onkarappa; Angel Sappa | ||||
Title | Space Variant Representations for Mobile Platform Vision Applications | Type ![]() |
Conference Article | ||
Year | 2011 | Publication | 14th International Conference on Computer Analysis of Images and Patterns | Abbreviated Journal | |
Volume | 6855 | Issue | II | Pages | 146-154 |
Keywords | |||||
Abstract | The log-polar space variant representation, motivated by biological vision, has been widely studied in the literature. Its data reduction and invariance properties made it useful in many vision applications. However, due to its nature, it fails in preserving features in the periphery. In the current work, as an attempt to overcome this problem, we propose a novel space-variant representation. It is evaluated and proved to be better than the log-polar representation in preserving the peripheral information, crucial for on-board mobile vision applications. The evaluation is performed by comparing log-polar and the proposed representation once they are used for estimating dense optical flow. | ||||
Address | Seville, Spain | ||||
Corporate Author | Thesis | ||||
Publisher | Springer Berlin Heidelberg | Place of Publication | Editor | P. Real, D. Diaz, H. Molina, A. Berciano, W. Kropatsch | |
Language | Summary Language | Original Title | |||
Series Editor | Series Title | Abbreviated Series Title | |||
Series Volume | Series Issue | Edition | |||
ISSN | 0302-9743 | ISBN | 978-3-642-23677-8 | Medium | |
Area | Expedition | Conference | CAIP | ||
Notes | ADAS | Approved | no | ||
Call Number | NaS2011; ADAS @ adas @ | Serial | 1686 | ||
Permanent link to this record |