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ECCV
2002
Springer
14 years 9 months ago
A Stochastic Algorithm for 3D Scene Segmentation and Reconstruction
In this paper, we present a stochastic algorithm by effective Markov chain Monte Carlo (MCMC) for segmenting and reconstructing 3D scenes. The objective is to segment a range image...
Feng Han, Zhuowen Tu, Song Chun Zhu
SSIAI
2002
IEEE
14 years 8 days ago
Geometry-Based Automatic Object Localization and 3-D Pose Detection
Given the image of a real-world scene and a polygonal 3-D model of a depicted object, its apparent size, image coordinates, and 3-D orientation are autonomously detected. Based on...
Marcus A. Magnor
ECCV
2008
Springer
14 years 9 months ago
Object Detection from Large-Scale 3D Datasets Using Bottom-Up and Top-Down Descriptors
We propose an approach for detecting objects in large-scale range datasets that combines bottom-up and top-down processes. In the bottom-up stage, fast-to-compute local descriptors...
Alexander Patterson, Philippos Mordohai, Kostas Da...
3DPVT
2006
IEEE
257views Visualization» more  3DPVT 2006»
14 years 1 months ago
3D from Line Segments in Two Poorly-Textured, Uncalibrated Images
This paper addresses the problem of camera selfcalibration, bundle adjustment and 3D reconstruction from line segments in two images of poorly-textured indoor scenes. First, we ge...
Herbert Bay, Andreas Ess, Alexander Neubeck, Luc J...
CVPR
2009
IEEE
15 years 2 months ago
Active Volume Models for 3D Medical Image Segmentation
In this paper, we propose a novel predictive model for object boundary, which can integrate information from any sources. The model is a dynamic “object” model whose manifes...
Tian Shen (Lehigh University), Hongsheng Li (Lehig...