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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 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 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 Journal
  Year 2007 Publication The imaging science journal. Vol. 55, No. 3 pp. 127–139 Abbreviated Journal  
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  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 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 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 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 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 Fadi Dornaika; Angel Sappa edit  openurl
  Title Evaluation of an Appearance-based 3D Face Tracker using Dense 3D Data Type Journal
  Year 2008 Publication Machine Vision and Applications Abbreviated Journal  
  Volume 19 Issue 5-6 Pages 427–441  
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  Call Number ADAS @ adas @ DoS2008b Serial 1018  
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Author Hugo Berti; Angel Sappa; Osvaldo Agamennoni edit  openurl
  Title Improved Dynamic Window Approach by Using Lyapunov Stability Criteria Type Journal
  Year 2008 Publication Latin American Applied Research Abbreviated Journal  
  Volume 38 Issue 4 Pages 289–298  
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  Call Number ADAS @ adas @ BSA2008 Serial 1056  
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Author Jose Manuel Alvarez; Antonio Lopez edit   pdf
openurl 
  Title Road Detection Based on Illuminant Invariance Type Journal Article
  Year 2011 Publication IEEE Transactions on Intelligent Transportation Systems Abbreviated Journal TITS  
  Volume 12 Issue 1 Pages 184-193  
  Keywords road detection  
  Abstract By using an onboard camera, it is possible to detect the free road surface ahead of the ego-vehicle. Road detection is of high relevance for autonomous driving, road departure warning, and supporting driver-assistance systems such as vehicle and pedestrian detection. The key for vision-based road detection is the ability to classify image pixels as belonging or not to the road surface. Identifying road pixels is a major challenge due to the intraclass variability caused by lighting conditions. A particularly difficult scenario appears when the road surface has both shadowed and nonshadowed areas. Accordingly, we propose a novel approach to vision-based road detection that is robust to shadows. The novelty of our approach relies on using a shadow-invariant feature space combined with a model-based classifier. The model is built online to improve the adaptability of the algorithm to the current lighting and the presence of other vehicles in the scene. The proposed algorithm works in still images and does not depend on either road shape or temporal restrictions. Quantitative and qualitative experiments on real-world road sequences with heavy traffic and shadows show that the method is robust to shadows and lighting variations. Moreover, the proposed method provides the highest performance when compared with hue-saturation-intensity (HSI)-based algorithms.  
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  Call Number ADAS @ adas @ AlL2011 Serial 1456  
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