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» A visual odometry framework robust to motion blur
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ICRA
2007
IEEE
224views Robotics» more  ICRA 2007»
15 years 3 months ago
Visual Categorization Robust to Large Intra-Class Variations using Entropy-guided Codebook
Abstract— Categorizing visual elements is fundamentally important for autonomous mobile robots to get intelligence such as new object acquisition and topological place classific...
Sungho Kim, In-So Kweon, Chil-Woo Lee
80
Voted
WACV
2007
IEEE
15 years 3 months ago
Object Categorization Robust to Surface Markings using Entropy-guided Codebook
Visual categorization is fundamentally important for autonomous mobile robots to get intelligence such as novel object acquisition and topological place recognition. The main dif...
Sungho Kim, In-So Kweon
92
Voted
SSIAI
2000
IEEE
15 years 1 months ago
A New Bayesian Relaxation Framework for the Estimation and Segmentation of Multiple Motions
In this paper we propose a new probabilistic relaxation framework to perform robust multiple motion estimation and segmentation from a sequence of images. Our approach uses displa...
Alexander Strehl, Jake K. Aggarwal
84
Voted
ICCV
2005
IEEE
15 years 11 months ago
Identifying Individuals in Video by Combining "Generative" and Discriminative Head Models
The objective of this work is automatic detection and identification of individuals in unconstrained consumer video, given a minimal number of labelled faces as training data. Whi...
Mark Everingham, Andrew Zisserman
VR
2011
IEEE
204views Virtual Reality» more  VR 2011»
14 years 1 months ago
Stable vision-aided navigation for large-area augmented reality
In this paper, we present a unified approach for a drift-free and jitter-reduced vision-aided navigation system. This approach is based on an error-state Kalman filter algorithm...
Taragay Oskiper, Han-Pang Chiu, Zhiwei Zhu, Supun ...