Contour-based features and skeleton-based features are integrated into a unified framework for shape clustering task.
A co-trained spectral clustering algorithm is introduced, incorporated with density-initialized seeds and consensus-based voting.
Exhausted experiments on several shape benchmarks demonstrate the effectiveness of our proposed method.