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» Cascade Object Detection with Deformable Part Models
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ICCV
2009
IEEE
16 years 2 months ago
Modeling Deformable Objects from a Single Depth Camera
We propose a novel approach to reconstruct complete 3D deformable models over time by a single depth camera, provided that most parts of the models are observed by the camera at...
Miao Liao, Qing Zhang, Huamin Wang, Ruigang Yang, ...
TSMC
2008
148views more  TSMC 2008»
14 years 9 months ago
Stratification Approach for 3-D Euclidean Reconstruction of Nonrigid Objects From Uncalibrated Image Sequences
Abstract--This paper addresses the problem of 3-D reconstruction of nonrigid objects from uncalibrated image sequences. Under the assumption of affine camera and that the nonrigid ...
Guanghui Wang, Q. M. Jonathan Wu
92
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ACMACE
2005
ACM
15 years 3 months ago
D4MD: deformation system for a vehicle simulation game
This paper presents a hybrid geometrical-physical, plastic deformation technique applicable for solids, in the context of a car simulation game. This technique doesn’t aim to be...
Tiago Rodrigues, Rui Pires, José Miguel Sal...
CVPR
2012
IEEE
13 years 3 days ago
Fan Shape Model for object detection
We propose a novel shape model for object detection called Fan Shape Model (FSM). We model contour sample points as rays of final length emanating for a reference point. As in fo...
Xinggang Wang, Xiang Bai, Tianyang Ma, Wenyu Liu, ...
ACCV
2010
Springer
14 years 4 months ago
A Heuristic Deformable Pedestrian Detection Method
Pedestrian detection is an important application in computer vision. Currently, most pedestrian detection methods focus on learning one or multiple fixed models. These algorithms r...
Yongzhen Huang, Kaiqi Huang, Tieniu Tan