… reconstruction by determining the extent of each sample in … only in the image plane poses
problems in the context of … Our approach performs adaptive sampling by placing samples near …

… using the Kullback-Leibler distance. Our adaptation approach chooses a small number of
samples … space, and it chooses a large number of samples if the state uncertainty is high. Both …

… confronted by severe pose and illumination variations. We improve our approach in the
following … To downweigh the influence of the outlier pixels in estimating the adaptive velocity, we …

… the problem of registration from arbitrary initial relative poses, not just of refinement. It is …
: first their distribution orients the selection of random samples; secondly the determination …

… , our method is designed to track small colour targets commonly found in outdoor visual
surveillance. Our approach … to track people, identifying poses and separating individuals during …

… to the surface detail by finding the consensus geometry. The … of nearby positions from each
of the original range images. The … other integration methods that will correctly determine the …

… recognize and determine the pose of threedimensional (3-D) objects in range image data has
… We also propose a practical method to construct an effective generic model, and examine …

… owing to changes in pose, imaging and lighting conditions, … random sample of recent work
on local feature based methods… that are biased towards finding more discriminant patches. …

… method for estimating surface normals from the sampled data. For … use adaptive sampling,
they should provide significant compression over LUT representations. Finally, since distance …

… Motion provides a strong cue for estimating 3D structure, pose and … , pose, illumination
and background clutter. We propose a system that uses simple image processing techniques to …