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» Scale-Hierarchical 3D Object Recognition in Cluttered Scenes
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CVPR
1998
IEEE
14 years 9 months ago
The Sample Tree: A Sequential Hypothesis Testing Approach to 3D Object Recognition
A method is presented for e cient and reliable object recognition within noisy, cluttered, and occluded range images. The method is based on a strategy which hypothesizes the inte...
Michael A. Greenspan
VRCAI
2009
ACM
14 years 2 months ago
Segmentation of architecture shape information from 3D point cloud
Object Segmentation is an important step in object reconstruction from point cloud data of complex urban scenes and in applications to virtual environment. This paper focuses on s...
Xiaojuan Ning, Xiaopeng Zhang, Yinghui Wang, Marc ...
CVPR
2007
IEEE
14 years 9 months ago
Dynamic 3D Scene Analysis from a Moving Vehicle
In this paper, we present a system that integrates fully automatic scene geometry estimation, 2D object detection, 3D localization, trajectory estimation, and tracking for dynamic...
Bastian Leibe, Nico Cornelis, Kurt Cornelis, Luc J...
ICPR
2000
IEEE
13 years 12 months ago
Improving Appearance-Based Object Recognition in Cluttered Backgrounds
Appearance-based object recognition systems are currently the most successful approach for dealing with 3D recognition of arbitrary objects in the presence of clutter and occlusio...
Andrea Selinger, Randal C. Nelson
MM
2006
ACM
175views Multimedia» more  MM 2006»
14 years 1 months ago
Real-time automatic 3D scene generation from natural language voice and text descriptions
Automatic scene generation using voice and text offers a unique multimedia approach to classic storytelling and human computer interaction with 3D graphics. In this paper, we pre...
Lee M. Seversky, Lijun Yin