Computer Vision - ECCV '94

Active object recognition integrating attention and viewpoint control.- Active 3D object recognition using 3D affine invariants.- Grasping the apparent contour.- Visual tracking of high DOF articulated structures: An application to human hand tracking.- Integration and control of reactive visual processes.- Motion estimation on the essential manifold.- Motion from point matches using affine epipolar geometry.- Navigation using affine structure from motion.- A paraperspective factorization method for shape and motion recovery.- Active camera self-orientation using dynamic image parameters.- Planning the optimal set of views using the Max-Min principle.- On perceptual advantages of eye-head active control.- Improving registration of 3-D medical images using a mechanical based method.- Non-iterative contextual correspondence matching.- A registration method for rigid objects without point matching.- Non-parametric local transforms for computing visual correspondence.- Measuring the affine transform using gaussian filters.- Extracting the affine transformation from texture moments.- Lack-of-fit detection using the run-distribution test.- Disparity-space images and large occlusion stereo.- Registration of a curve on a surface using differential properties.- Genetic algorithms applied to binocular stereovision.- Segmentation of echocardiographic images with Markov random fields.- Unsupervised regions segmentation: Real time control of an upkeep machine of natural spaces.- Synchronous image restoration.- Parameterfree information-preserving surface restoration.- Spatially varying illumination: A computational model of converging and diverging sources.- Recovery of illuminant and surface colors from images based on the CIE daylight.- 3-D stereo using photometric ratios.- Shape from shading: Provably convergent algorithms and uniqueness results.- Seeing beyond Lambert's law.- Using 3-dimensional meshes to combine image-based and geometry-based constraints.- Determination of