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» Sparse Image Reconstruction using Sparse Priors
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CVPR
2001
IEEE
16 years 6 months ago
Single View Modeling of Free-Form Scenes
This paper presents a novel approach for reconstructing free-form, texture-mapped, 3D scene models from a single painting or photograph. Given a sparse set of user-specified const...
Li Zhang, Guillaume Dugas-Phocion, Jean-Sebastien ...
IROS
2007
IEEE
189views Robotics» more  IROS 2007»
15 years 10 months ago
Person following with a mobile robot using binocular feature-based tracking
Abstract— We present the Binocular Sparse Feature Segmentation (BSFS) algorithm for vision-based person following with a mobile robot. BSFS uses Lucas-Kanade feature detection an...
Zhichao Chen, Stanley T. Birchfield
CVPR
2008
IEEE
15 years 10 months ago
Recovering Shape Characteristics on Near-flat Specular Surfaces
We consider the problem of capturing shape characteristics on specular (refractive and reflective) surfaces that are nearly flat. These surfaces are difficult to model using tradit...
Yuanyuan Ding and Jingyi Yu
IPM
2006
171views more  IPM 2006»
15 years 4 months ago
Automatic extraction of bilingual word pairs using inductive chain learning in various languages
In this paper, we propose a new learning method for extracting bilingual word pairs from parallel corpora in various languages. In cross-language information retrieval, the system...
Hiroshi Echizen-ya, Kenji Araki, Yoshio Momouchi
CVPR
2004
IEEE
16 years 6 months ago
Efficient Tracking with the Bounded Hough Transform
The Bounded Hough Transform is introduced to track objects in a sequence of sparse range images. The method is based upon a variation of the General Hough Transform that exploits ...
Michael A. Greenspan, Limin Shang, Piotr Jasiobedz...