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Author | Enric Marti; Carme Julia; Debora Gil | ||||
Title | A PBL Experience in the Teaching of Computer Graphics | Type | Journal Article | ||
Year | 2006 | Publication | Computer Graphics Forum | Abbreviated Journal | CGF |
Volume | 25 | Issue | 1 | Pages | 95-103 |
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Abstract | Project-Based Learning (PBL) is an educational strategy to improve student’s learning capability that, in recent years, has had a progressive acceptance in undergraduate studies. This methodology is based on solving a problem or project in a student working group. In this way, PBL focuses on learning the necessary tools to correctly find a solution to given problems. Since the learning initiative is transferred to the student, the PBL method promotes students own abilities. This allows a better assessment of the true workload that carries out the student in the subject. It follows that the methodology conforms to the guidelines of the Bologna document, which quantifies the student workload in a subject by means of the European credit transfer system (ECTS). PBL is currently applied in undergraduate studies needing strong practical training such as medicine, nursing or law sciences. Although this is also the case in engineering studies, amazingly, few experiences have been reported. In this paper we propose to use PBL in the educational organization of the Computer Graphics subjects in the Computer Science degree. Our PBL project focuses in the development of a C++ graphical environment based on the OpenGL libraries for visualization and handling of different graphical objects. The starting point is a basic skeleton that already includes lighting functions, perspective projection with mouse interaction to change the point of view and three predefined objects. Students have to complete this skeleton by adding their own functions to solve the project. A total number of 10 projects have been proposed and successfully solved. The exercises range from human face rendering to articulated objects, such as robot arms or puppets. In the present paper we extensively report the statement and educational objectives for two of the projects: solar system visualization and a chess game. We report our earlier educational experience based on the standard classroom theoretical, problem and practice sessions and the reasons that motivated searching for other learning methods. We have mainly chosen PBL because it improves the student learning initiative. We have applied the PBL educational model since the beginning of the second semester. The student’s feedback increases in his interest for the subject. We present a comparative study of the teachers’ and students’ workload between PBL and the classic teaching approach, which suggests that the workload increase in PBL is not as high as it seems. | ||||
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Publisher | Computer Graphics Forum | Place of Publication | Computer Vision CenterComputer Science Department Escola Tcnica Superior d’Enginyeria (UAB), Edifi | Editor | |
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Notes | IAM;ADAS; | Approved | no | ||
Call Number | IAM @ iam @ MJG2006a | Serial | 1607 | ||
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Author | Enric Marti; Jordi Regincos;Jaime Lopez-Krahe; Juan J.Villanueva | ||||
Title | Hand line drawing interpretation as three-dimensional objects | Type | Journal Article | ||
Year | 1993 | Publication | Signal Processing – Intelligent systems for signal and image understanding | Abbreviated Journal | |
Volume | 32 | Issue | 1-2 | Pages | 91-110 |
Keywords | Line drawing interpretation; line labelling; scene analysis; man-machine interaction; CAD input; line extraction | ||||
Abstract | In this paper we present a technique to interpret hand line drawings as objects in a three-dimensional space. The object domain considered is based on planar surfaces with straight edges, concretely, on ansextension of Origami world to hidden lines. The line drawing represents the object under orthographic projection and it is sensed using a scanner. Our method is structured in two modules: feature extraction and feature interpretation. In the first one, image processing techniques are applied under certain tolerance margins to detect lines and junctions on the hand line drawing. Feature interpretation module is founded on line labelling techniques using a labelled junction dictionary. A labelling algorithm is here proposed. It uses relaxation techniques to reduce the number of incompatible labels with the junction dictionary so that the convergence of solutions can be accelerated. We formulate some labelling hypotheses tending to eliminate elements in two sets of labelled interpretations. That is, those which are compatible with the dictionary but do not correspond to three-dimensional objects and those which represent objects not very probable to be specified by means of a line drawing. New entities arise on the line drawing as a result of the extension of Origami world. These are defined to enunciate the assumptions of our method as well as to clarify the algorithms proposed. This technique is framed in a project aimed to implement a system to create 3D objects to improve man-machine interaction in CAD systems. | ||||
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Publisher | Elsevier North-Holland, Inc. | Place of Publication | Amsterdam, The Netherlands, The Netherlands | Editor | |
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ISSN | 0165-1684 | ISBN | Medium | ||
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Notes | IAM;ISE; | Approved | no | ||
Call Number | IAM @ iam @ MRL1993 | Serial | 1611 | ||
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Author | Ernest Valveny; Enric Marti | ||||
Title | A model for image generation and symbol recognition through the deformation of lineal shapes | Type | Journal Article | ||
Year | 2003 | Publication | Pattern Recognition Letters | Abbreviated Journal | PRL |
Volume | 24 | Issue | 15 | Pages | 2857-2867 |
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Abstract | We describe a general framework for the recognition of distorted images of lineal shapes, which relies on three items: a model to represent lineal shapes and their deformations, a model for the generation of distorted binary images and the combination of both models in a common probabilistic framework, where the generation of deformations is related to an internal energy, and the generation of binary images to an external energy. Then, recognition consists in the minimization of a global energy function, performed by using the EM algorithm. This general framework has been applied to the recognition of hand-drawn lineal symbols in graphic documents. | ||||
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Publisher | Elsevier Science Inc. | Place of Publication | New York, NY, USA | Editor | |
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ISSN | 0167-8655 | ISBN | Medium | ||
Area | Expedition | Conference | |||
Notes | DAG; IAM | Approved | no | ||
Call Number | IAM @ iam @ VAM2003 | Serial | 1653 | ||
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Author | Ernest Valveny; Enric Marti | ||||
Title | Deformable Template Matching within a Bayesian Framework for Hand-Written Graphic Symbol Recognition | Type | Journal Article | ||
Year | 2000 | Publication | Graphics Recognition Recent Advances | Abbreviated Journal | |
Volume | 1941 | Issue | Pages | 193-208 | |
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Abstract | We describe a method for hand-drawn symbol recognition based on deformable template matching able to handle uncertainty and imprecision inherent to hand-drawing. Symbols are represented as a set of straight lines and their deformations as geometric transformations of these lines. Matching, however, is done over the original binary image to avoid loss of information during line detection. It is defined as an energy minimization problem, using a Bayesian framework which allows to combine fidelity to ideal shape of the symbol and flexibility to modify the symbol in order to get the best fit to the binary input image. Prior to matching, we find the best global transformation of the symbol to start the recognition process, based on the distance between symbol lines and image lines. We have applied this method to the recognition of dimensions and symbols in architectural floor plans and we show its flexibility to recognize distorted symbols. | ||||
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Corporate Author | Springer Verlag | Thesis | |||
Publisher | Springer Verlag | Place of Publication | Editor | ||
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Notes | DAG;IAM; | Approved | no | ||
Call Number | IAM @ iam @ MVA2000 | Serial | 1655 | ||
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Author | Estefania Talavera; Carolin Wuerich; Nicolai Petkov; Petia Radeva | ||||
Title | Topic modelling for routine discovery from egocentric photo-streams | Type | Journal Article | ||
Year | 2020 | Publication | Pattern Recognition | Abbreviated Journal | PR |
Volume | 104 | Issue | Pages | 107330 | |
Keywords | Routine; Egocentric vision; Lifestyle; Behaviour analysis; Topic modelling | ||||
Abstract | Developing tools to understand and visualize lifestyle is of high interest when addressing the improvement of habits and well-being of people. Routine, defined as the usual things that a person does daily, helps describe the individuals’ lifestyle. With this paper, we are the first ones to address the development of novel tools for automatic discovery of routine days of an individual from his/her egocentric images. In the proposed model, sequences of images are firstly characterized by semantic labels detected by pre-trained CNNs. Then, these features are organized in temporal-semantic documents to later be embedded into a topic models space. Finally, Dynamic-Time-Warping and Spectral-Clustering methods are used for final day routine/non-routine discrimination. Moreover, we introduce a new EgoRoutine-dataset, a collection of 104 egocentric days with more than 100.000 images recorded by 7 users. Results show that routine can be discovered and behavioural patterns can be observed. | ||||
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Notes | MILAB; no proj | Approved | no | ||
Call Number | Admin @ si @ TWP2020 | Serial | 3435 | ||
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Author | Estefania Talavera; Maria Leyva-Vallina; Md. Mostafa Kamal Sarker; Domenec Puig; Nicolai Petkov; Petia Radeva | ||||
Title | Hierarchical approach to classify food scenes in egocentric photo-streams | Type | Journal Article | ||
Year | 2020 | Publication | IEEE Journal of Biomedical and Health Informatics | Abbreviated Journal | J-BHI |
Volume | 24 | Issue | 3 | Pages | 866 - 877 |
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Abstract | Recent studies have shown that the environment where people eat can affect their nutritional behaviour. In this work, we provide automatic tools for a personalised analysis of a person's health habits by the examination of daily recorded egocentric photo-streams. Specifically, we propose a new automatic approach for the classification of food-related environments, that is able to classify up to 15 such scenes. In this way, people can monitor the context around their food intake in order to get an objective insight into their daily eating routine. We propose a model that classifies food-related scenes organized in a semantic hierarchy. Additionally, we present and make available a new egocentric dataset composed of more than 33000 images recorded by a wearable camera, over which our proposed model has been tested. Our approach obtains an accuracy and F-score of 56\% and 65\%, respectively, clearly outperforming the baseline methods. | ||||
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Notes | MILAB; no proj | Approved | no | ||
Call Number | Admin @ si @ TLM2020 | Serial | 3380 | ||
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Author | F. Javier Sanchez; Jorge Bernal; Cristina Sanchez Montes; Cristina Rodriguez de Miguel; Gloria Fernandez Esparrach | ||||
Title | Bright spot regions segmentation and classification for specular highlights detection in colonoscopy videos | Type | Journal Article | ||
Year | 2017 | Publication | Machine Vision and Applications | Abbreviated Journal | MVAP |
Volume | Issue | Pages | 1-20 | ||
Keywords | Specular highlights; bright spot regions segmentation; region classification; colonoscopy | ||||
Abstract | A novel specular highlights detection method in colonoscopy videos is presented. The method is based on a model of appearance dening specular
highlights as bright spots which are highly contrasted with respect to adjacent regions. Our approach proposes two stages; segmentation, and then classication of bright spot regions. The former denes a set of candidate regions obtained through a region growing process with local maxima as initial region seeds. This process creates a tree structure which keeps track, at each growing iteration, of the region frontier contrast; nal regions provided depend on restrictions over contrast value. Non-specular regions are ltered through a classication stage performed by a linear SVM classier using model-based features from each region. We introduce a new validation database with more than 25; 000 regions along with their corresponding pixel-wise annotations. We perform a comparative study against other approaches. Results show that our method is superior to other approaches, with our segmented regions being closer to actual specular regions in the image. Finally, we also present how our methodology can also be used to obtain an accurate prediction of polyp histology. |
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Notes | MV; 600.096; 600.175 | Approved | no | ||
Call Number | Admin @ si @ SBS2017 | Serial | 2975 | ||
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Author | F. Moreso; D. Seron; Jordi Vitria; J.M. Grinyo; F.M. Colome-Serra; N. Pares; J.R. Serra | ||||
Title | Quantification of Interstitial Chronic Renal Damage by means of Texture Analysis. | Type | Journal Article | ||
Year | 1994 | Publication | Kidney International | Abbreviated Journal | |
Volume | 46 | Issue | 6 | Pages | 1721-1727 |
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Notes | OR;MV | Approved | no | ||
Call Number | BCNPCL @ bcnpcl @ MSV1994 | Serial | 113 | ||
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Author | F.Negin; Pau Rodriguez; M.Koperski; A.Kerboua; Jordi Gonzalez; J.Bourgeois; E.Chapoulie; P.Robert; F.Bremond | ||||
Title | PRAXIS: Towards automatic cognitive assessment using gesture recognition | Type | Journal Article | ||
Year | 2018 | Publication | Expert Systems with Applications | Abbreviated Journal | ESWA |
Volume | 106 | Issue | Pages | 21-35 | |
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Abstract | Praxis test is a gesture-based diagnostic test which has been accepted as diagnostically indicative of cortical pathologies such as Alzheimer’s disease. Despite being simple, this test is oftentimes skipped by the clinicians. In this paper, we propose a novel framework to investigate the potential of static and dynamic upper-body gestures based on the Praxis test and their potential in a medical framework to automatize the test procedures for computer-assisted cognitive assessment of older adults.
In order to carry out gesture recognition as well as correctness assessment of the performances we have recollected a novel challenging RGB-D gesture video dataset recorded by Kinect v2, which contains 29 specific gestures suggested by clinicians and recorded from both experts and patients performing the gesture set. Moreover, we propose a framework to learn the dynamics of upper-body gestures, considering the videos as sequences of short-term clips of gestures. Our approach first uses body part detection to extract image patches surrounding the hands and then, by means of a fine-tuned convolutional neural network (CNN) model, it learns deep hand features which are then linked to a long short-term memory to capture the temporal dependencies between video frames. We report the results of four developed methods using different modalities. The experiments show effectiveness of our deep learning based approach in gesture recognition and performance assessment tasks. Satisfaction of clinicians from the assessment reports indicates the impact of framework corresponding to the diagnosis. |
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Notes | ISE | Approved | no | ||
Call Number | Admin @ si @ NRK2018 | Serial | 3669 | ||
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Author | Fadi Dornaika; Abdelmalik Moujahid; Bogdan Raducanu | ||||
Title | Facial expression recognition using tracked facial actions: Classifier performance analysis | Type | Journal Article | ||
Year | 2013 | Publication | Engineering Applications of Artificial Intelligence | Abbreviated Journal | EAAI |
Volume | 26 | Issue | 1 | Pages | 467-477 |
Keywords | Visual face tracking; 3D deformable models; Facial actions; Dynamic facial expression recognition; Human–computer interaction | ||||
Abstract | In this paper, we address the analysis and recognition of facial expressions in continuous videos. More precisely, we study classifiers performance that exploit head pose independent temporal facial action parameters. These are provided by an appearance-based 3D face tracker that simultaneously provides the 3D head pose and facial actions. The use of such tracker makes the recognition pose- and texture-independent. Two different schemes are studied. The first scheme adopts a dynamic time warping technique for recognizing expressions where training data are given by temporal signatures associated with different universal facial expressions. The second scheme models temporal signatures associated with facial actions with fixed length feature vectors (observations), and uses some machine learning algorithms in order to recognize the displayed expression. Experiments quantified the performance of different schemes. These were carried out on CMU video sequences and home-made video sequences. The results show that the use of dimension reduction techniques on the extracted time series can improve the classification performance. Moreover, these experiments show that the best recognition rate can be above 90%. | ||||
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Publisher | Elsevier | Place of Publication | Editor | ||
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Notes | OR; 600.046;MV | Approved | no | ||
Call Number | Admin @ si @ DMR2013 | Serial | 2185 | ||
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Author | Fadi Dornaika; Angel Sappa | ||||
Title | Rigid and Non-rigid Face Motion Tracking by Aligning Texture Maps and Stereo 3D Models | Type | Journal Article | ||
Year | 2007 | Publication | Pattern Recognition Letters | Abbreviated Journal | PRL |
Volume | 28 | Issue | 15 | Pages | 2116-2126 |
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Notes | ADAS | Approved | no | ||
Call Number | ADAS @ adas @ DoS2007c | Serial | 877 | ||
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Author | Fadi Dornaika; Angel Sappa | ||||
Title | Instantaneous 3D motion from image derivatives using the Least Trimmed Square Regression | Type | Journal Article | ||
Year | 2009 | Publication | Pattern Recognition Letters | Abbreviated Journal | PRL |
Volume | 30 | Issue | 5 | Pages | 535–543 |
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Abstract | This paper presents a new technique to the instantaneous 3D motion estimation. The main contributions are as follows. First, we show that the 3D camera or scene velocity can be retrieved from image derivatives only assuming that the scene contains a dominant plane. Second, we propose a new robust algorithm that simultaneously provides the Least Trimmed Square solution and the percentage of inliers-the non-contaminated data. Experiments on both synthetic and real image sequences demonstrated the effectiveness of the developed method. Those experiments show that the new robust approach can outperform classical robust schemes. | ||||
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Publisher | Elsevier Science Inc. | Place of Publication | Editor | ||
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Series Volume | Series Issue | Edition | |||
ISSN | 0167-8655 | ISBN | Medium | ||
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Notes | ADAS | Approved | no | ||
Call Number | ADAS @ adas @ DoS2009a | Serial | 1115 | ||
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Author | Fadi Dornaika; Angel Sappa | ||||
Title | A Featureless and Stochastic Approach to On-board Stereo Vision System Pose | Type | Journal Article | ||
Year | 2009 | Publication | Image and Vision Computing | Abbreviated Journal | IMAVIS |
Volume | 27 | Issue | 9 | Pages | 1382–1393 |
Keywords | On-board stereo vision system; Pose estimation; Featureless approach; Particle filtering; Image warping | ||||
Abstract | This paper presents a direct and stochastic technique for real-time estimation of on-board stereo head’s position and orientation. Unlike existing works which rely on feature extraction either in the image domain or in 3D space, our proposed approach directly estimates the unknown parameters from the stream of stereo pairs’ brightness. The pose parameters are tracked using the particle filtering framework which implicitly enforces the smoothness constraints on the estimated parameters. The proposed technique can be used with a driver assistance applications as well as with augmented reality applications. Extended experiments on urban environments with different road geometries are presented. Comparisons with a 3D data-based approach are presented. Moreover, we provide a performance study aiming at evaluating the accuracy of the proposed approach. | ||||
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Notes | ADAS | Approved | no | ||
Call Number | ADAS @ adas @ DoS2009b | Serial | 1152 | ||
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Author | Fadi Dornaika; Bogdan Raducanu | ||||
Title | Three-Dimensional Face Pose Detection and Tracking Using Monocular Videos: Tool and Application | Type | Journal Article | ||
Year | 2009 | Publication | IEEE Transactions on Systems, Man and Cybernetics part B | Abbreviated Journal | TSMCB |
Volume | 39 | Issue | 4 | Pages | 935–944 |
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Abstract | Recently, we have proposed a real-time tracker that simultaneously tracks the 3-D head pose and facial actions in monocular video sequences that can be provided by low quality cameras. This paper has two main contributions. First, we propose an automatic 3-D face pose initialization scheme for the real-time tracker by adopting a 2-D face detector and an eigenface system. Second, we use the proposed methods-the initialization and tracking-for enhancing the human-machine interaction functionality of an AIBO robot. More precisely, we show how the orientation of the robot's camera (or any active vision system) can be controlled through the estimation of the user's head pose. Applications based on head-pose imitation such as telepresence, virtual reality, and video games can directly exploit the proposed techniques. Experiments on real videos confirm the robustness and usefulness of the proposed methods. | ||||
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Notes | OR;MV | Approved | no | ||
Call Number | BCNPCL @ bcnpcl @ DoR2009a | Serial | 1218 | ||
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Author | Fadi Dornaika; Jose Manuel Alvarez; Angel Sappa; Antonio Lopez | ||||
Title | A New Framework for Stereo Sensor Pose through Road Segmentation and Registration | Type | Journal Article | ||
Year | 2011 | Publication | IEEE Transactions on Intelligent Transportation Systems | Abbreviated Journal | TITS |
Volume | 12 | Issue | 4 | Pages | 954-966 |
Keywords | road detection | ||||
Abstract | This paper proposes a new framework for real-time estimation of the onboard stereo head's position and orientation relative to the road surface, which is required for any advanced driver-assistance application. This framework can be used with all road types: highways, urban, etc. Unlike existing works that rely on feature extraction in either the image domain or 3-D space, we propose a framework that directly estimates the unknown parameters from the stream of stereo pairs' brightness. The proposed approach consists of two stages that are invoked for every stereo frame. The first stage segments the road region in one monocular view. The second stage estimates the camera pose using a featureless registration between the segmented monocular road region and the other view in the stereo pair. This paper has two main contributions. The first contribution combines a road segmentation algorithm with a registration technique to estimate the online stereo camera pose. The second contribution solves the registration using a featureless method, which is carried out using two different optimization techniques: 1) the differential evolution algorithm and 2) the Levenberg-Marquardt (LM) algorithm. We provide experiments and evaluations of performance. The results presented show the validity of our proposed framework. | ||||
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ISSN | 1524-9050 | ISBN | Medium | ||
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Notes | ADAS | Approved | no | ||
Call Number | Admin @ si @ DAS2011; ADAS @ adas @ das2011a | Serial | 1833 | ||
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