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Author |
Antonio Lopez; J. Hilgenstock; A. Busse; Ramon Baldrich; Felipe Lumbreras; Joan Serrat |
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Title |
Nightime Vehicle Detecion for Intelligent Headlight Control |
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2008 |
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Advanced Concepts for Intelligent Vision Systems, 10th International Conference, Proceedings, |
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5259 |
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113–124 |
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Intelligent Headlights; vehicle detection |
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Juan-les-Pins, France |
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ADAS;CIC |
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ADAS @ adas @ LHB2008a |
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1098 |
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Author |
Antonio Lopez; J. Hilgenstock; A. Busse; Ramon Baldrich; Felipe Lumbreras; Joan Serrat |
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Title |
Temporal Coherence Analysis for Intelligent Headlight Control |
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Miscellaneous |
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2008 |
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2nd Workshop on Perception, Planning and Navigation for Intelligent Vehicles |
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59–64 |
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Intelligent Headlights |
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IROS |
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ADAS @ adas @ LHB2008b |
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1112 |
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Author |
Josep Llados; Felipe Lumbreras; V. Chapaprieta; J. Queralt |
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Title |
ICAR: Identity Card Automatic Reader. |
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2001 |
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Sixth International Conference on Document Analysis and Recognition |
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ICDAR 2001 |
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470–474 |
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USA |
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ADAS;DAG |
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ADAS @ adas @ LLC2001 |
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112 |
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Antonio Lopez; Felipe Lumbreras; A. Martinez; Joan Serrat; Xavier Roca; X. Varona; Jordi Vitria |
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Title |
Aplicaciones de la vision por computador a la industria. |
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Miscellaneous |
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1997 |
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CVC |
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ADAS;OR;ISE;MV |
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ADAS @ adas @ LLM1997b |
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50 |
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Author |
Antonio Lopez; D. Lloret; Joan Serrat; Juan J. Villanueva |
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Title |
Multilocal Creaseness Based on the Level-Set Extrinsic Curvarture. |
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2000 |
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Computer Vision and Image Understanding, Academic Press, 77(2):111–144. |
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ADAS @ adas @ LLS 2000 b |
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172 |
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Author |
D. Lloret; Antonio Lopez; Joan Serrat |
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Title |
Rigid Registration of CT and MR volumes based on Rothes creases |
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1997 |
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(SNRFAI’97) 7th Spanish National Symposium on Pattern Recognition and Image Analysis. Eds.CVC,pgs.1–6 |
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Barcelona (Spain) |
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ADAS @ adas @ LLS1997 |
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490 |
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Antonio Lopez; Felipe Lumbreras; Joan Serrat |
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Title |
Efficient computation of local creaseness |
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1997 |
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CVC Technical Report |
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15 |
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CVC, Bellaterra (Spain) |
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ADAS @ adas @ LLS1997b |
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527 |
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Antonio Lopez; D. Lloret; Joan Serrat |
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Title |
Creaseness measures for CT and MR image registration. |
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1998 |
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CVPR’98 , IEEE Computer Society, pgs.694–699 |
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Creases are a type of ridge/valley structures that can be characterized by local conditions. Therefore, creaseness refers to local ridgeness and valleyness. The curvature K of the level curves and the mean curvature kM of the level surfaces are good measures of creaseness for 2-d and 3-d images, respectively. However, the way they are computed gives rise to discontinuities, reducing their usefulness in many applications. We propose a new creaseness measure, based on these curvatures, that avoids the discontinuities. We demonstrate its usefulness in the registration of CT and MR brain volumes, from the same patient, by searching the maximum in the correlation of their creaseness responses (ridgeness from the CT and valleyness from the MR). Due to the high dimensionality of the space of transforms, the search is performed by a hierarchical approach combined with an optimization method at each level of the hierarchy |
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Santa Barbara, USA. |
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ADAS @ adas @ LLS1998a |
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11 |
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Antonio Lopez; Felipe Lumbreras; Joan Serrat |
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Title |
Creaseness form level set extrinsec curvature. |
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1998 |
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5th European Conference on Computer Vision (ECCV’98), Lecture Notes in Computer Science,vol 1407, pgs. 156–169 |
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Freiburg, Germany. |
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ADAS @ adas @ LLS1998b |
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12 |
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D. Lloret; Antonio Lopez; Joan Serrat |
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3-D image Processing and Modeling, workshop on non-linear model-based image analysis. |
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1998 |
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NMBIA |
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Glasgow, U.K. |
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ADAS @ adas @ LLS1998c |
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