Statistical shape analysis: clustering, learning, and testing
By Anuj Srivastava, Shantanu H. Joshi, Washington Mio, Xiuwen Liu. IEEE Transactions on Pattern Analysis and Machine Intelligence, 2005
409 citations recorded by the source corpus.
Subfields: Computer Vision and Pattern Recognition, Geometry and Topology
View Paper: https://www.semanticscholar.org/paper/3c85ceadac654673e2028c0a80e9d038e373b24f
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Computer Vision and Pattern Recognition
- Xiang Bai
- Luc Van Gool
- Bernt Schiele
- Jitendra Malik
- Andrew Zisserman
- Xiaogang Wang
- Zhuowen Tu
- Chunhua Shen
In Geometry and Topology
- Anuj Srivastava
- Dariu M. Gavrila
- Eric Klassen
- Shantanu H. Joshi
- Ian H. Jermyn
- Jingyong Su
- Boulbaba Ben Amor
- C. Klingenberg
Citations in the corpus
- Shape Analysis of Elastic Curves in Euclidean Spaces (2011, methodology): “Among other things, they applied this framework to statistical modeling and analysis using large databases of shapes [ 30 ].”
- A Bayesian, Exemplar-Based Approach to Hierarchical Shape Matching (2007, methodology): “Srivastava et al. [26] suggest binary hypothesis testing to distinguish between two probabilistic shape models.”
- Learning Context-Sensitive Shape Similarity by Graph Transduction (2010, methodology): “We believe that some other methods such as [12] can be also imp r ved with our method.”