Using the inner-distance for classification of articulated shapes

• Published in: 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05) Vol. 2; pp. 719 - 726 vol. 2
• Main Authors: Ling, H., Jacobs, D.W.
• Format: Conference Proceeding
• Language: English
• Published: IEEE 2005
• Subjects: Computer science; Dynamic programming; Educational institutions; Euclidean distance; Humans; Jacobian matrices; MPEG 7 Standard; Shape measurement; Testing

We propose using the inner-distance between landmark points to build shape descriptors. The inner-distance is defined as the length of the shortest path between landmark points within the shape silhouette. We show that the inner-distance is articulation insensitive and more effective at capturing co...