Dynamic time warping under pointwise shape context

Author:

Zhang Zheng,Tang Ping,Duan Rubing

Funder

Institute of Remote Sensing and Digital Earth, Chinese Academy of Sciences

Chinese Academy of Sciences

National Science & Technology Pillar Program of China

Publisher

Elsevier BV

Subject

Artificial Intelligence,Information Systems and Management,Computer Science Applications,Theoretical Computer Science,Control and Systems Engineering,Software

Reference55 articles.

1. Warp: accurate retrieval of shapes using phase of fourier descriptors and time warping distance;Bartolini;IEEE Trans. Pattern Anal. Machine Intell.,2005

2. S. Belongie, J. Malik, J. Puzicha, Shape context: a new descriptor for shape matching and object recognition, in: NIPS, vol. 2, 2000, p. 3.

3. Shape matching and object recognition using shape contexts;Belongie;IEEE Trans. Pattern Anal. Machine Intell.,2002

4. D.J. Berndt, J. Clifford, Using dynamic time warping to find patterns in time series, in: KDD workshop, vol. 10, Seattle, WA, 1994, pp. 359–370.

5. A probabilistic approach to object recognition using local photometry and global geometry;Burl,1998

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