An Evaluation of Shape Descriptors for Image Retrieval in Human Pose Estimation
P. Tresadern, Ian D. Reid · 2007
This paper presents an empirical comparison of several shape representations in order to search a database of training examples (silhouettes) for the task of human pose estimation. In particular, we compare the Discrete Cosine Transform (DCT), Lipschitz embeddings and the Histogram of Shape Contexts that has previously demonstrated some success in this task. Our results suggest that a simple linear transformation of the image (such as the DCT) is as effective as the more complex, non-linear methods. 1