Sciweavers

ICCV
2001
IEEE
15 years 1 months ago
The Variable Bandwidth Mean Shift and Data-Driven Scale Selection
We present two solutions for the scale selection problem in computer vision. The rst one is completely nonparametric and is based on the the adaptive estimation of the normalized ...
Dorin Comaniciu, Visvanathan Ramesh, Peter Meer
ICCV
2001
IEEE
15 years 1 months ago
Sparse PCA: Extracting Multi-scale Structure from Data
Chakra Chennubhotla, Allan D. Jepson
ICCV
2001
IEEE
15 years 1 months ago
People Tracking Using Hybrid Monte Carlo Filtering
Particle filters are used for hidden state estimation with nonlinear dynamical systems. The inference of 3-d human motion is a natural application, given the nonlinear dynamics of...
Kiam Choo, David J. Fleet
ICCV
2001
IEEE
15 years 1 months ago
Example-Based Facial Sketch Generation with Non-parametric Sampling
In this paper, we present an example-based facial sketch system. Our system automatically generates a sketch from an input image, by learning from example sketches drawn with a pa...
Hong Chen, Ying-Qing Xu, Heung-Yeung Shum, Song Ch...
ICCV
2001
IEEE
15 years 1 months ago
Fast Algorithm for Nearest Neighbor Search Based on a Lower Bound Tree
Yong-Sheng Chen, Yi-Ping Hung, Chiou-Shann Fuh
ICCV
2001
IEEE
15 years 1 months ago
Trust-Region Methods for Real-Time Tracking
Hwann-Tzong Chen, Tyng-Luh Liu
ICCV
2001
IEEE
15 years 1 months ago
Alignment of Non-Overlapping Sequences
Yaron Caspi, Michal Irani
ICCV
2001
IEEE
15 years 1 months ago
Feature Selection from Huge Feature Sets
The number of features that can be computed over an image is, for practical purposes, limitless. Unfortunately, the number of features that can be computed and exploited by most c...
José Bins, Bruce A. Draper
ICCV
2001
IEEE
15 years 1 months ago
Lambertian Reflectance and Linear Subspaces
We prove that the set of all Lambertian reflectance functions (the mapping from surface normals to intensities) obtained with arbitrary distant light sources lies close to a 9D lin...
Ronen Basri, David W. Jacobs