CVPR
2005
IEEE
14 years 11 months ago
2005
IEEE
Human hair is a very complex visual pattern whose representation is rarely studied in the vision literature despite its important role in human recognition. In this paper, we prop...
CVPR
2005
IEEE
14 years 11 months ago
2005
IEEE
CVPR
2005
IEEE
14 years 11 months ago
2005
IEEE
We present a new approach, called local discriminant embedding (LDE), to manifold learning and pattern classification. In our framework, the neighbor and class relations of data a...
CVPR
2005
IEEE
14 years 11 months ago
2005
IEEE
Random subspaces are a popular ensemble construction technique that improves the accuracy of weak classifiers. It has been shown, in different domains, that random subspaces combi...
CVPR
2005
IEEE
14 years 11 months ago
2005
IEEE
Standard but ad hoc measures such as sum-of-squared pixel differences (SSD) are often used when comparing and registering two images that have not been previously observed before....
CVPR
2005
IEEE
14 years 11 months ago
2005
IEEE
We propose a model-based tracking method, called appearance-guided particle filtering (AGPF), which integrates both sequential motion transition information and appearance informa...
CVPR
2005
IEEE
14 years 11 months ago
2005
IEEE
We propose an approximate Bayesian approach for unsupervised feature selection and density estimation, where the importance of the features for clustering is used as the measure f...
CVPR
2005
IEEE
14 years 11 months ago
2005
IEEE
A new particle filter, Kernel Particle Filter (KPF), is proposed for visual tracking for multiple objects in image sequences. The KPF invokes kernels to form a continuous estimate...
CVPR
2005
IEEE
14 years 11 months ago
2005
IEEE
Prior work has argued that when a Lambertian surface in fixed pose is observed in multiple images under varying distant illumination, there is an equivalence class of surfaces giv...
CVPR
2005
IEEE
14 years 11 months ago
2005
IEEE
We present a particle filtering algorithm for robustly tracking the contours of multiple deformable objects through severe occlusions. Our algorithm combines a multiple blob track...