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Author |
Monica Piñol; Angel Sappa; Ricardo Toledo |
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Title |
MultiTable Reinforcement for Visual Object Recognition |
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Conference Article |
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Year |
2012 |
Publication |
4th International Conference on Signal and Image Processing |
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Volume ![sorted by Volume (numeric) field, ascending order (up)](http://refbase.cvc.uab.es/img/sort_asc.gif) |
221 |
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469-480 |
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This paper presents a bag of feature based method for visual object recognition. Our contribution is focussed on the selection of the best feature descriptor. It is implemented by using a novel multi-table reinforcement learning method that selects among five of classical descriptors (i.e., Spin, SIFT, SURF, C-SIFT and PHOW) the one that best describes each image. Experimental results and comparisons are provided showing the improvements achieved with the proposed approach. |
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Coimbatore, India |
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Springer India |
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1876-1100 |
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978-81-322-0996-6 |
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ICSIP |
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ADAS |
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Admin @ si @ PST2012 |
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2157 |
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Author |
Miguel Oliveira; Victor Santos; Angel Sappa; P. Dias |
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Title |
Scene Representations for Autonomous Driving: an approach based on polygonal primitives |
Type |
Conference Article |
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Year |
2015 |
Publication |
2nd Iberian Robotics Conference ROBOT2015 |
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Volume ![sorted by Volume (numeric) field, ascending order (up)](http://refbase.cvc.uab.es/img/sort_asc.gif) |
417 |
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Pages |
503-515 |
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Keywords |
Scene reconstruction; Point cloud; Autonomous vehicles |
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Abstract |
In this paper, we present a novel methodology to compute a 3D scene
representation. The algorithm uses macro scale polygonal primitives to model the scene. This means that the representation of the scene is given as a list of large scale polygons that describe the geometric structure of the environment. Results show that the approach is capable of producing accurate descriptions of the scene. In addition, the algorithm is very efficient when compared to other techniques. |
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Lisboa; Portugal; November 2015 |
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ROBOT |
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ADAS; 600.076; 600.086 |
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Call Number |
Admin @ si @ OSS2015a |
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2662 |
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Author |
J.Poujol; Cristhian A. Aguilera-Carrasco; E.Danos; Boris X. Vintimilla; Ricardo Toledo; Angel Sappa |
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Title |
Visible-Thermal Fusion based Monocular Visual Odometry |
Type |
Conference Article |
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Year |
2015 |
Publication |
2nd Iberian Robotics Conference ROBOT2015 |
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Volume ![sorted by Volume (numeric) field, ascending order (up)](http://refbase.cvc.uab.es/img/sort_asc.gif) |
417 |
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517-528 |
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Keywords |
Monocular Visual Odometry; LWIR-RGB cross-spectral Imaging; Image Fusion. |
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Abstract |
The manuscript evaluates the performance of a monocular visual odometry approach when images from different spectra are considered, both independently and fused. The objective behind this evaluation is to analyze if classical approaches can be improved when the given images, which are from different spectra, are fused and represented in new domains. The images in these new domains should have some of the following properties: i) more robust to noisy data; ii) less sensitive to changes (e.g., lighting); iii) more rich in descriptive information, among other. In particular in the current work two different image fusion strategies are considered. Firstly, images from the visible and thermal spectrum are fused using a Discrete Wavelet Transform (DWT) approach. Secondly, a monochrome threshold strategy is considered. The obtained
representations are evaluated under a visual odometry framework, highlighting
their advantages and disadvantages, using different urban and semi-urban scenarios. Comparisons with both monocular-visible spectrum and monocular-infrared spectrum, are also provided showing the validity of the proposed approach. |
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Lisboa; Portugal; November 2015 |
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Springer International Publishing |
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ISSN |
2194-5357 |
ISBN |
978-3-319-27145-3 |
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ROBOT |
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Notes |
ADAS; 600.076; 600.086 |
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no |
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Call Number |
Admin @ si @ PAD2015 |
Serial |
2663 |
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Author |
Carme Julia; Angel Sappa; Felipe Lumbreras; Joan Serrat; Antonio Lopez |
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Title |
Factorization with Missing and Noisy Data |
Type |
Conference Article |
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Year |
2006 |
Publication |
6th International Conference on Computational Science |
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ICCS´06 |
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Volume ![sorted by Volume (numeric) field, ascending order (up)](http://refbase.cvc.uab.es/img/sort_asc.gif) |
LNCS 3991 |
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555–562 |
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Address |
Reading (United Kingdom) |
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ADAS |
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no |
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Call Number |
ADAS @ adas @ JSL2006b |
Serial |
653 |
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Author |
Carme Julia; Angel Sappa; Felipe Lumbreras; Joan Serrat; Antonio Lopez |
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Title |
An Iterative Multiresolution Scheme for SFM |
Type |
Conference Article |
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Year |
2006 |
Publication |
International Conference on Image Analysis and Recognition |
Abbreviated Journal |
ICIAR 2006 |
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Volume ![sorted by Volume (numeric) field, ascending order (up)](http://refbase.cvc.uab.es/img/sort_asc.gif) |
LNCS 4141 |
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1 |
Pages |
804–815 |
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ADAS @ adas @ JSL2006c |
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704 |
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Author |
Carme Julia; Angel Sappa; Felipe Lumbreras; Joan Serrat; Antonio Lopez |
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Title |
Motion Segmentation from Feature Trajectories with Missing Data |
Type |
Conference Article |
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Year |
2007 |
Publication |
3rd. Iberian Conference on Pattern Recognition and Image Analysis |
Abbreviated Journal |
IbPRIA 2007 |
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Volume ![sorted by Volume (numeric) field, ascending order (up)](http://refbase.cvc.uab.es/img/sort_asc.gif) |
LNCS 4477 |
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483–490 |
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Girona (Spain) |
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J. Marti et al. (Eds.) |
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ADAS |
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ADAS @ adas @ JSL2007a |
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814 |
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Author |
Joan Serrat; Ferran Diego; Felipe Lumbreras; Jose Manuel Alvarez |
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Title |
Synchronization of Video Sequences from Free-moving Cameras |
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Conference Article |
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Year |
2007 |
Publication |
3rd Iberian Conference on Pattern Recognition and Image Analysis |
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Volume ![sorted by Volume (numeric) field, ascending order (up)](http://refbase.cvc.uab.es/img/sort_asc.gif) |
4477 |
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620–627 |
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Girona (Spain) |
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J. Marti et al. |
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IbPRIA |
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ADAS |
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ADAS @ adas @ SDL2007 |
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880 |
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Author |
Antonio Lopez; Joan Serrat; Cristina Cañero; Felipe Lumbreras |
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Title |
Robust Lane Lines Detection and Quantitative Assessment |
Type |
Conference Article |
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Year |
2007 |
Publication |
3rd Iberian Conference on Pattern Recognition and Image Analysis |
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Volume ![sorted by Volume (numeric) field, ascending order (up)](http://refbase.cvc.uab.es/img/sort_asc.gif) |
4477 |
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274–281 |
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lane markings |
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Girona (Spain) |
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J. Marti et al |
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IbPRIA |
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ADAS |
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ADAS @ adas @ LSC2007 |
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881 |
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Author |
Fadi Dornaika; Angel Sappa |
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Title |
Real-time Vehicle Ego-Motion using Stereo Pairs and Particle Filters |
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Conference Article |
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Year |
2007 |
Publication |
Int. Conf. on Image Analysis and Recognition, |
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Volume ![sorted by Volume (numeric) field, ascending order (up)](http://refbase.cvc.uab.es/img/sort_asc.gif) |
4633 |
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469–480 |
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Address |
Montreal (Canada) |
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ADAS |
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ADAS @ adas @ DoS2007a |
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813 |
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Author |
Angel Sappa; Fadi Dornaika; David Geronimo; Antonio Lopez |
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Title |
Efficient On-Board Stereo Vision Pose Estimation |
Type |
Conference Article |
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Year |
2007 |
Publication |
Computer Aided Systems Theory, Selected paper from |
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Volume ![sorted by Volume (numeric) field, ascending order (up)](http://refbase.cvc.uab.es/img/sort_asc.gif) |
4739 |
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1183–1190 |
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This paper presents an efficient technique for real time estimation of on-board stereo vision system pose. The whole process is performed in the Euclidean space and consists of two stages. Initially, a compact representation of the original 3D data points is computed. Then, a RANSAC based least squares approach is used for fitting a plane to the 3D road points. Fast RANSAC fitting is obtained by selecting points according to a probability distribution function that takes into account the density of points at a given depth. Finally, stereo camera position
and orientation—pose—is computed relative to the road plane. The proposed technique is intended to be used on driver assistance systems for applications such as obstacle or pedestrian detection. A real time performance is reached. Experimental results on several environments and comparisons with a previous work are presented. |
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Las Palmas de Gran Canaria (Spain) |
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EUROCAST |
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ADAS |
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no |
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Call Number |
ADAS @ adas @ SDG2007b |
Serial |
916 |
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