Computer Vision - ECCV 2004: 8th European Conference on Computer Vision, Prague, Czech Republic, May 11-14, 2004. Proceedings, Volume 3
Tomas Pajdla, Jiri Matas
Springer, Jun 14, 2004 - Computers - 613 pages
The four-volume set comprising LNCS volumes 3021/3022/3023/3024 constitutes the refereed proceedings of the 8th European Conference on Computer Vision, ECCV 2004, held in Prague, Czech Republic, in May 2004. The 190 revised papers presented were carefully reviewed and selected from a total of 555 papers submitted. The four books span the entire range of current issues in computer vision. The papers are organized in topical sections on tracking; feature-based object detection and recognition; geometry; texture; learning and recognition; information-based image processing; scale space, flow, and restoration; 2D shape detection and recognition; and 3D shape representation and reconstruction.
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3D Statistical Shape Models Using Direct Optimisation
A Multiview Approach to Segmenting and Tracking
Hausdorff Kernel for 3D Object Acquisition and Detection
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active contour affine affine space affine transformation algorithm analysis applied approach approximation background boundary camera classification clustering color components Computer Vision constraint corresponding cost cues curve database defined deformable denote density depth detection discriminators distance distribution ECCV edge eigenvalues eigenvectors equation error estimate example exemplars Figure filter foreground framework Gabor filter Gaussian geometric given gradient graph cuts group action histogram IEEE IEEE Trans illumination illumination image image segmentation initial input iteration layer light sources linear Markov Markov chain matching matrix measure method metric minimization motion node noise normal object obtained occlusion optimal pair parameters pixels pose posterior probability prior problem Proc proposed recognition reconstruction region represented saddle point sample points scene sequence shape shown similar spatial specular statistical stereo stereopsis subspace surface techniques textons texture element transformation tree values variables vector voxel weight