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IJCAT
2010
133views more  IJCAT 2010»
15 years 2 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...
ICMCS
2007
IEEE
131views Multimedia» more  ICMCS 2007»
15 years 10 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
16 years 6 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»
15 years 4 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»
15 years 4 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