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IJCAT
2010
133views more  IJCAT 2010»
14 years 8 months ago
A 3D shape classifier with neural network supervision
: The task of 3D shape classification is to assign a set of unordered shapes into pre-tagged classes with class labels, and find the most suitable class for a newly given shape. In...
Zhenbao Liu, Jun Mitani, Yukio Fukui, Seiichi Nish...
70
Voted
ICMCS
2007
IEEE
131views Multimedia» more  ICMCS 2007»
15 years 4 months ago
3D Model Retrieval Based on Depth Line Descriptor
In this paper, we propose a novel 2D/3D approach for 3D model matching and retrieving. Each model is represented by a set of depth lines which will be afterward transformed into s...
Mohamed Chaouch, Anne Verroust-Blondet
ECCV
2008
Springer
15 years 11 months ago
Finding Actions Using Shape Flows
Abstract. We propose a novel method for action detection based on a new action descriptor called a shape flow that represents both the shape and movement of an object in a holistic...
Hao Jiang, David R. Martin
PAMI
2006
98views more  PAMI 2006»
14 years 9 months ago
Integral Invariants for Shape Matching
For shapes represented as closed planar contours, we introduce a class of functionals which are invariant with respect to the Euclidean group and which are obtained by performing i...
Siddharth Manay, Daniel Cremers, Byung-Woo Hong, A...
JMLR
2006
143views more  JMLR 2006»
14 years 9 months ago
Segmental Hidden Markov Models with Random Effects for Waveform Modeling
This paper proposes a general probabilistic framework for shape-based modeling and classification of waveform data. A segmental hidden Markov model (HMM) is used to characterize w...
Seyoung Kim, Padhraic Smyth