Computer Vision - ECCV ...: ... European Conference on Computer Vision ... : Proceedings, Volume 3Springer-Verlag, 2002 - Computer vision |
Contents
3D Statistical Shape Models Using Direct Optimisation | 3 |
A Multiview Approach to Segmenting and Tracking | 18 |
Hausdorff Kernel for 3D Object Acquisition and Detection | 20 |
Copyright | |
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Common terms and phrases
active contour affine affine space affine transformation algorithm analysis applied approach approximation background boundary BRDF camera classification clustering color components Computer Vision constraint corresponding cues curve database defined deformable density depth detection diffuse distance distribution ECCV edge eigenvalues eigenvectors energy equation error estimate example exemplars Figure filter foreground framework function Gabor filter gamma distribution Gaussian geometric gradient graph histogram IEEE IEEE Trans illumination illumination image image bases image segmentation input iteration Lambertian layer light sources linear Markov Markov chain matching matrix measure method metric minimization motion node noise normal object obtained optimal parameters Photo Hull photo-consistent pixels posterior probability prior probabilistic probability problem Proc proposed reconstruction region represented saddle point sample scene sequence shape shown shows similar specular statistical stereo stereopsis structure subspace surface techniques textons texture element transformation tree values variables vector voxel weight