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» A 3D shape matching framework
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ECCV
2010
Springer
15 years 5 months ago
Local Occlusion Detection Under Deformations Using Topological Invariants
Occlusions provide critical cues about the 3D structure of man-made and natural scenes. We present a mathematical framework and algorithm to detect and localize occlusions in image...
ICIP
2008
IEEE
16 years 2 months ago
LASIC: A model invariant framework for correspondence
In this paper we address two closely related problems. The first is the object detection problem, i.e., the automatic decision of whether a given image represents a known object o...
Bernardo Rodrigues Pires, João Xavier, Jos&...
ECCV
2008
Springer
16 years 2 months ago
View Synthesis for Recognizing Unseen Poses of Object Classes
Abstract. An important task in object recognition is to enable algorithms to categorize objects under arbitrary poses in a cluttered 3D world. A recent paper by Savarese & Fei-...
Silvio Savarese, Fei-Fei Li 0002
130
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SMI
2007
IEEE
208views Image Analysis» more  SMI 2007»
15 years 6 months ago
A Partition-of-Unity Based Algorithm for Implicit Surface Reconstruction Using Belief Propagation
In this paper, we propose a new algorithm for the fundamental problem of reconstructing surfaces from a large set of unorganized 3D data points. The local shapes of the surface ar...
Yi-Ling Chen, Shang-Hong Lai
CIVR
2007
Springer
173views Image Analysis» more  CIVR 2007»
15 years 6 months ago
Fast and cheap object recognition by linear combination of views
In this paper, we present a real-time algorithm for 3D object detection in images. Our method relies on the Ullman and Basri [13] theory which claims that the same object under di...
Jérome Revaud, Guillaume Lavoué, Yas...