Approximate 3D Partial Symmetry Detection Using Co-occurrence Analysis

2015 ◽  
Author(s):  
Chuan Li ◽  
Michael Wand ◽  
Xiaokun Wu ◽  
Hans-Peter Seidel
Keyword(s):  
Symmetry Detection ◽  
Partial Symmetry

scholarly journals PRS-Net: Planar Reflective Symmetry Detection Net for 3D Models

2020 ◽  
pp. 1-1 ◽  
Author(s):  
Lin Gao ◽  
Ling-Xiao Zhang ◽  
Hsien-Yu Meng ◽  
Yi-Hui Ren ◽  
Yu-Kun Lai ◽  
...  
Keyword(s):  
3D Models ◽  
Symmetry Detection ◽  
Reflective Symmetry

Priming for symmetry detection of three-dimensional figures: Central axes can prime symmetry detection separately from local components

2006 ◽  
Vol 13 (3) ◽  
pp. 363-397 ◽  
Author(s):  
Takashi Yamauchi ◽  
Lynn A. Cooper ◽  
H. John Hilton ◽  
Nicholas J. Szerlip ◽  
Hsin-Chin Chen ◽  
...  
Keyword(s):  
Three Dimensional ◽  
Symmetry Detection

Robust Autonomous Car-Like Robot Tracking Based on Tracking-Learning-Detection

2014 ◽  
Vol 687-691 ◽  
pp. 564-571 ◽  
Author(s):  
Lin Bao Xu ◽  
Shu Ming Tang ◽  
Jin Feng Yang ◽  
Yan Min Dong
Keyword(s):  
Optical Flow ◽  
Fast Moving ◽  
Moving Objects ◽  
Tracking Algorithm ◽  
Robust Tracking ◽  
Symmetry Detection ◽  
Tracking Method ◽  
Robot Tracking ◽  
Improve Accuracy ◽  
First Time

This paper proposes a robust tracking algorithm for an autonomous car-like robot, and this algorithm is based on the Tracking-Learning-Detection (TLD). In this paper, the TLD method is extended to track the autonomous car-like robot for the first time. In order to improve accuracy and robustness of the proposed algorithm, a method of symmetry detection of autonomous car-like robot rear is integrated into the TLD. Moreover, the Median-Flow tracker in TLD is improved with a pyramid-based optical flow tracking method to capture fast moving objects. Extensive experiments and comparisons show the robustness of the proposed method.

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