Sciweavers

ICCV
2007
IEEE
15 years 4 days ago
The 3D-3D Registration Problem Revisited
We describe a new framework for globally solving the 3D-3D registration problem with unknown point correspondences. This problem is significant as it is frequently encountered in ...
Hongdong Li, Richard I. Hartley
ICCV
2007
IEEE
15 years 4 days ago
Real-time Accurate Object Detection using Multiple Resolutions
We propose a multi-resolution framework inspired by human visual search for general object detection. Different resolutions are represented using a coarse-to-fine feature hierarch...
Wei Zhang 0002, Gregory J. Zelinsky, Dimitris Sama...
ICCV
2007
IEEE
15 years 4 days ago
An Empirical Study of Object Category Recognition: Sequential Testing with Generalized Samples
In this paper we present an empirical study of object category recognition using generalized samples and a set of sequential tests. We study 33 categories, each consisting of a sm...
Liang Lin, Shaowu Peng, Jake Porway, Song Chun Zhu...

0
posts
with
0
views
253profile views
lndbrgProfessor, Assistant
BCU

0
posts
with
0
views
265profile views
Jizhou GaoStudent, PhD
University of Kentucky
Jizhou Gao

0
posts
with
0
views
363profile views
tidyupEngineer
Specterra Services

0
posts
with
0
views
234profile views
mungkolStudent, PhD
Waseda University
CVPR
2000
IEEE
15 years 5 days ago
A Linear Algorithm for Camera Self-Calibration, Motion and Structure Recovery for Multi-Planar Scenes from Two Perspective Image
In this paper we show that given two homography matrices for two planes in space, there is a linear algorithm for the rotation and translation between the two cameras, the focal l...
Gang Xu, Jun-ichi Terai, Heung-Yeung Shum
CVPR
2008
IEEE
15 years 6 days ago
Combining appearance models and Markov Random Fields for category level object segmentation
Object models based on bag-of-words representations can achieve state-of-the-art performance for image classification and object localization tasks. However, as they consider obje...
Diane Larlus, Frédéric Jurie
CVPR
2008
IEEE
15 years 6 days ago
A discriminatively trained, multiscale, deformable part model
This paper describes a discriminatively trained, multiscale, deformable part model for object detection. Our system achieves a two-fold improvement in average precision over the b...
Pedro F. Felzenszwalb, David A. McAllester, Deva R...