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Fadi Dornaika and Angel Sappa. 2008. Real Time on Board Stereo Camera Pose through Image Registration. IEEE Intelligent Vehicles Symposium,.804–809.
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Carme Julia, Angel Sappa, Felipe Lumbreras and Joan Serrat. 2008. Photometric Stereo through and Adapted Alternation Approach. IEEE International Conference on Image Processing,.1500–1503.
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Angel Sappa, Fadi Dornaika, David Geronimo and Antonio Lopez. 2008. Registration-based Moving Object Detection from a Moving Camera. IROS2008 2nd Workshop on Perception, Planning and Navigation for Intelligent Vehicles.65–69.
Abstract: This paper presents a robust approach for detecting moving objects from on-board stereo vision systems. It relies on a feature point quaternion-based registration, which avoids common problems that appear when computationally expensive iterative-based algorithms are used on dynamic environments. The proposed approach consists of three stages. Initially, feature points are extracted and tracked through consecutive frames. Then, a RANSAC based approach is used for registering
two 3D point sets with known correspondences by means of the quaternion method. Finally, the computed 3D rigid displacement is used to map two consecutive frames into the same coordinate system. Moving objects correspond to those areas with large registration errors. Experimental results, in different scenarios, show the viability of the proposed approach.
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Carme Julia, Angel Sappa, Felipe Lumbreras, Joan Serrat and Antonio Lopez. 2008. An Adapted Alternation Approach for Recommender Systems. IEEE International Conference on e–Business Engineering,.128–135.
Abstract: This paper presents an adaptation of the alternation technique to tackle the prediction task in recommender systems. These systems are widely considered in electronic commerce to help customers to find products they will probably like or dislike. As the SVD-based approaches, the proposed adapted alternation technique uses all the information stored in the system to find the predictions. The main advantage of this technique with respect to the SVD-based ones is that it can deal with missing data. Furthermore, it has a smaller computational cost. Experimental results with public data sets are provided in order to show the viability of the proposed adapted alternation approach.
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Jose Manuel Alvarez, Antonio Lopez and Ramon Baldrich. 2008. Illuminant Invariant Model-Based Road Segmentation. IEEE Intelligent Vehicles Symposium,.1155–1180.
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Fadi Dornaika and Angel Sappa. 2007. Improving Appearance-Based 3D Face Tracking Using Sparse Stereo Data. In J. Braz, A.R., H. Araujo and J. Jorge,, ed. Advances in Computer Graphics and Computer Vision,. Springer Verlag, 354–366.
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Jose Manuel Alvarez and Antonio Lopez. 2008. Novel Index for Objective Evaluation of Road Detection Algorithms. Intelligent Transportation Systems. 11th International IEEE Conference on,.815–820.
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Antonio Lopez, J. Hilgenstock, A. Busse, Ramon Baldrich, Felipe Lumbreras and Joan Serrat. 2008. Nightime Vehicle Detecion for Intelligent Headlight Control. Advanced Concepts for Intelligent Vision Systems, 10th International Conference, Proceedings,.113–124. (LNCS.)
Keywords: Intelligent Headlights; vehicle detection
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Arnau Ramisa, Adriana Tapus, Ramon Lopez de Mantaras and Ricardo Toledo. 2008. Mobile Robot Localization using Panoramic Vision and Combination of Feature Region Detectors. IEEE International Conference on Robotics and Automation,.538–543.
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Ariel Amato, Angel Sappa, Alicia Fornes, Felipe Lumbreras and Josep Llados. 2013. Divide and Conquer: Atomizing and Parallelizing A Task in A Mobile Crowdsourcing Platform. 2nd International ACM Workshop on Crowdsourcing for Multimedia.21–22.
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.
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