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Author Angel Sappa edit  openurl
  Title Splitting up Panoramic Range Images into Compact 2½D Representations Type (up) Journal
  Year 2006 Publication International Journal of Imaging Systems and Technology, 16(3): 85–91 Abbreviated Journal  
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  Notes ADAS Approved no  
  Call Number ADAS @ adas @ Sap2006b Serial 721  
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Author Angel Sappa; M.A. Garcia edit  openurl
  Title Generating compact representations of static scenes by means of 3D object hierarchies Type (up) Journal
  Year 2007 Publication The Visual Computer, 23(2): 143–154 Abbreviated Journal  
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  Notes ADAS Approved no  
  Call Number ADAS @ adas @ SaG2007a Serial 798  
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Author Angel Sappa; M.A. Garcia edit  openurl
  Title Coarse-to-Fine Approximation of Range Images with Bounded Error Adaptive Triangular Meshes Type (up) Journal
  Year 2007 Publication Journal of Electronic Imaging, 16(2), 023010(11 pages) Abbreviated Journal  
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  Notes ADAS Approved no  
  Call Number ADAS @ adas @ SaG2007b Serial 802  
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Author Angel Sappa; Boris Vintimilla edit  openurl
  Title Cost-Based Closed Contour Representations Type (up) Journal
  Year 2007 Publication Journal of Electronic Imaging, 16(2), 023009 (9 pages) Abbreviated Journal  
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  Call Number ADAS @ adas @ SaV2007 Serial 803  
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Author Angel Sappa; M.A. Garcia edit  openurl
  Title Incremental Integration of Multiresolution Range Images Type (up) Journal
  Year 2007 Publication The imaging science journal. Vol. 55, No. 3 pp. 127–139 Abbreviated Journal  
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  Notes ADAS Approved no  
  Call Number ADAS @ adas @ SaG2007d Serial 812  
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Author Jaume Amores; N. Sebe; Petia Radeva edit  openurl
  Title Context-Based Object-Class Recognition and Retrieval by Generalized Correlograms Type (up) Journal
  Year 2007 Publication IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 29(10):1818–1833, (ISI 3,81) Abbreviated Journal  
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  Notes ADAS;MILAB Approved no  
  Call Number ADAS @ adas @ ASR2007b Serial 922  
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Author Carme Julia; Angel Sappa; Felipe Lumbreras; Joan Serrat; Antonio Lopez edit   pdf
openurl 
  Title Rank Estimation in 3D Multibody Motion Segmentation Type (up) Journal
  Year 2008 Publication Electronic Letters Abbreviated Journal  
  Volume 44 Issue 4 Pages 279-280  
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  Abstract A novel technique for rank estimation in 3D multibody motion segmentation is proposed. It is based on the study of the frequency spectra of moving rigid objects and does not use or assume a prior knowledge of the objects contained in the scene (i.e. number of objects and motion). The significance of rank estimation on multibody motion segmentation results is shown by using two motion segmentation algorithms over both synthetic and real data.  
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  Call Number ADAS @ adas @ JSL2008a Serial 939  
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Author Joan Serrat; Ferran Diego; Felipe Lumbreras; Jose Manuel Alvarez; Antonio Lopez; C. Elvira edit   pdf
openurl 
  Title Dynamic Comparison of Headlights Type (up) Journal
  Year 2008 Publication Proceedings of the Institution of Mechanical Engineers, Part D: Journal of Automobile Engineering Abbreviated Journal  
  Volume 222 Issue 5 Pages 643–656  
  Keywords video alignment  
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  Call Number ADAS @ adas @ SDL2008a Serial 958  
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Author Yu Jie; Jaume Amores; N. Sebe; Petia Radeva; Tian Qi edit  openurl
  Title Distance Learning for Similarity Estimation Type (up) Journal
  Year 2008 Publication IEEE Trans. on Pattern Analysis and Machine Intelligence, vol.30(3):451–462 Abbreviated Journal  
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  Notes ADAS;MILAB Approved no  
  Call Number ADAS @ adas @ JAS2008 Serial 961  
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Author Angel Sappa; Fadi Dornaika; Daniel Ponsa; David Geronimo; Antonio Lopez edit   pdf
url  openurl
  Title An Efficient Approach to Onboard Stereo Vision System Pose Estimation Type (up) Journal
  Year 2008 Publication IEEE Transactions on Intelligent Transportation Systems Abbreviated Journal TITS  
  Volume 9 Issue 3 Pages 476–490  
  Keywords Camera extrinsic parameter estimation, ground plane estimation, onboard stereo vision system  
  Abstract This paper presents an efficient technique for estimating the pose of an onboard stereo vision system relative to the environment’s dominant surface area, which is supposed to be the road surface. Unlike previous approaches, it can be used either for urban or highway scenarios since it is not based on a specific visual traffic feature extraction but on 3-D raw data points. The whole process is performed in the Euclidean space and consists of two stages. Initially, a compact 2-D representation of the original 3-D data points is computed. Then, a RANdom SAmple Consensus (RANSAC) based least-squares approach is used to fit a plane to the road. Fast RANSAC fitting is obtained by selecting points according to a probability function that takes into account the density of points at a given depth. Finally, stereo camera height and pitch angle are computed related to the fitted road plane. The proposed technique is intended to be used in driverassistance systems for applications such as vehicle or pedestrian detection. Experimental results on urban environments, which are the most challenging scenarios (i.e., flat/uphill/downhill driving, speed bumps, and car’s accelerations), are presented. These results are validated with manually annotated ground truth. Additionally, comparisons with previous works are presented to show the improvements in the central processing unit processing time, as well as in the accuracy of the obtained results.  
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  Notes ADAS Approved no  
  Call Number ADAS @ adas @ SDP2008 Serial 1000  
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