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» 2D Shape Recognition by Hidden Markov Models
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80
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EMMCVPR
2001
Springer
15 years 4 months ago
Designing the Minimal Structure of Hidden Markov Model by Bisimulation
Hidden Markov Models (HMMs) are an useful and widely utilized approach to the modeling of data sequences. One of the problems related to this technique is finding the optimal stru...
Manuele Bicego, Agostino Dovier, Vittorio Murino
88
Voted
ICIP
2004
IEEE
16 years 1 months ago
A novel 2D shape matching algorithm based on B-spline modeling
This paper presents a novel algorithm for 2D planar curve recognition based on B-Spline modeling. It combines the advantages of the B-Spline that are continuous curve representati...
Yue Wang, Eam Khwang Teoh
AMDO
2008
Springer
15 years 1 months ago
A Comparative Study on Using Zernike Velocity Moments and Hidden Markov Models for Hand Gesture Recognition
Hand-gesture recognition presents a challenging problem for computer vision due to the articulated structure of the human hand and the complexity of the environments in which it is...
Moaath Al-Rajab, David Hogg, Kia Ng
CVIU
2006
214views more  CVIU 2006»
14 years 11 months ago
A survey of approaches and challenges in 3D and multi-modal 3D + 2D face recognition
This survey focuses on recognition performed by matching models of the three-dimensional shape of the face, either alone or in combination with matching corresponding two-dimensio...
Kevin W. Bowyer, Kyong I. Chang, Patrick J. Flynn
CVPR
2011
IEEE
14 years 7 months ago
2D Nonrigid Partial Shape Matching Using MCMC and Contour Subdivision
Shape matching has many applications in computer vision, such as shape classification, object recognition, object detection, and localization. In 2D cases, shape instances are 2D c...
Y. Cao, Z. Zhang, I. Czogiel, I. Dryden, S. Wang