CVPR
2008
IEEE
14 years 11 months ago
2008
IEEE
The idea of representing images using a bag of visual words is currently popular in object category recognition. Since this representation is typically constructed using unsupervi...
CVPR
2008
IEEE
14 years 11 months ago
2008
IEEE
We present a novel geometrical constraint on the egomotion of a single, moving camera. Using a camera with a large field-of-view (FOV), the optical flow measured at a single pair ...
CVPR
2008
IEEE
14 years 11 months ago
2008
IEEE
Given a finite number of data points sampled from a low-dimensional manifold embedded in a high dimensional space together with the parameter vectors for a subset of the data poin...
CVPR
2008
IEEE
14 years 11 months ago
2008
IEEE
Histograms represent a popular means for feature representation. This paper is concerned with the problem of exhaustive histogram-based image search. Several standard histogram co...
CVPR
2008
IEEE
14 years 11 months ago
2008
IEEE
In many retrieval, object recognition and wide baseline stereo methods, correspondences of interest points are established possibly sublinearly by matching a compact descriptor su...
CVPR
2008
IEEE
14 years 11 months ago
2008
IEEE
Bottom-up segmentation tends to rely on local features. Yet, many natural and man-made objects contain repeating elements. Such structural and more spread-out features are importa...
CVPR
2008
IEEE
14 years 11 months ago
2008
IEEE
Without a deformation model, monocular 3D shape recovery of deformable surfaces is severly under-constrained. Even when the image information is rich enough, prior knowledge of th...
CVPR
2008
IEEE
14 years 11 months ago
2008
IEEE
Variation due to viewpoint is one of the key challenges that stand in the way of a complete solution to the face recognition problem. It is easy to note that local regions of the ...
CVPR
2008
IEEE
2008
IEEE
Adaptive and compact shape descriptor by progressive feature combination and selection with boosting
14 years 11 months ago
CVPR
2008
IEEE
14 years 11 months ago
2008
IEEE
Clustering is a fundamental task in many vision applications. To date, most clustering algorithms work in a batch setting and training examples must be gathered in a large group b...