CVPR
2010
IEEE
14 years 7 months ago
2010
IEEE
We present an efficient pixel-sampling technique for histogram-based search. Given a template image as a query, a typical histogram-based algorithm aims to find the location of ...
CVPR
2010
IEEE
14 years 7 months ago
2010
IEEE
A recent dominating trend in tracking called tracking-by-detection uses on-line classifiers in order to redetect objects over succeeding frames. Although these methods usually deli...
CVPR
2010
IEEE
14 years 7 months ago
2010
IEEE
In this paper we propose a multilinear model of human pose and body shape which is estimated from a database of registered 3D body scans in different poses. The model is generated...
CVPR
2010
IEEE
14 years 7 months ago
2010
IEEE
The integral image is typically used for fast integrating a function over a rectangular region in an image. We propose a method that extends the integral image to do fast integrat...
CVPR
2010
IEEE
14 years 7 months ago
2010
IEEE
Due to the lack of explicit spatial consideration, existing
epitome model may fail for image recognition and target detection,
which directly motivates us to propose the so-calle...
CVPR
2010
IEEE
14 years 7 months ago
2010
IEEE
Many object surfaces are composed of layers of different physical substances, known as layered surfaces. These surfaces, such as patinas, water colors, and wall paintings, have mo...
CVPR
2010
IEEE
14 years 7 months ago
2010
IEEE
We propose a multi-view stereo reconstruction algorithm which recovers urban scenes as a combination of meshes and geometric primitives. It provides a compact model while preservi...
CVPR
2010
IEEE
14 years 7 months ago
2010
IEEE
Motion blur due to camera shake is a annoying problem in low-light photography. In this paper, we propose a novel method to recover a sharp image from a pair of motion blurred and ...
CVPR
2010
IEEE
14 years 7 months ago
2010
IEEE
Image-analysis methods play an important role in helping detect brain changes in and diagnosis of Alzheimer's Disease (AD). In this paper, we propose an automatic unsupervised...
CVPR
2010
IEEE
14 years 7 months ago
2010
IEEE
Multiple instance (MI) learning is a recent learning paradigm that is more flexible than standard supervised learning algorithms in the handling of label ambiguity. It has been u...