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» Recognizing 3D Objects Using Photometric Invariant
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MVA
2008
14 years 9 months ago
Retrieving articulated 3-D models using medial surfaces
Abstract We consider the use of medial surfaces to represent symmetries of 3-D objects. This allows for a qualitative abstraction based on a directed acyclic graph of components an...
Kaleem Siddiqi, Juan Zhang, Diego Macrini, Ali Sho...
ICCV
2011
IEEE
13 years 9 months ago
From Contours to 3D Object Detection and Pose Estimation
This paper addresses view-invariant object detection and pose estimation from a single image. While recent work focuses on object-centered representations of point-based object fe...
Nadia Payet, Sinisa Todorovic
PAMI
2007
184views more  PAMI 2007»
14 years 9 months ago
Appearance Characterization of Linear Lambertian Objects, Generalized Photometric Stereo, and Illumination-Invariant Face Recogn
Traditional photometric stereo algorithms employ a Lambertian reflectance model with a varying albedo field and involve the appearance of only one object. In this paper, we gene...
Shaohua Kevin Zhou, Gaurav Aggarwal, Rama Chellapp...
ACCV
2010
Springer
14 years 11 months ago
Abstraction and Generalization of 3D structure for recognition in large intra-class variation
Humans have abstract models for object classes which helps recognize previously unseen instances, despite large intra-class variations. Also objects are grouped into classes based...
Gowri Somanath, Chandra Kambhamettu
CVPR
2012
IEEE
13 years 1 days ago
SURFing the point clouds: Selective 3D spatial pyramids for category-level object recognition
This paper proposes a novel approach to recognize object categories in point clouds. By quantizing 3D SURF local descriptors, computed on partial 3D shapes extracted from the poin...
Carolina Redondo-Cabrera, Roberto Javier Ló...