Ling, H.B. and Jacobs, D.W. (2007) Shape Classification Using the Inner-Distance. IEEE Transactions on Pattern Analysis and Machine Intelligence, 29, 286-299.
https://doi.org/10.1109/TPAMI.2007.41

has been cited by the following article:

• TITLE: Shape Retrieval Using ECPDH with Dynamic Programming

  AUTHORS: Xin Shu, Lei Pan, Yunsong Qi

  KEYWORDS: Shape Descriptor, Shape Retrieval, Elliptic Contour Points Distribution Histogram, Dynamic Programming

  JOURNAL NAME: Journal of Computer and Communications, Vol.4 No.16, December 29, 2016

  ABSTRACT: The matching and retrieval of the 2D shapes are challenging issues in object recognition and computer vision. In this paper, we propose a new object contour descriptor termed ECPDH (Elliptic Contour Points Distribution Histogram), which is based on the distribution of the points on an object contour under the polar coordinates. ECPDH has the essential merits of invariance to scale and translation. Dynamic Programming (DP) algorithm is used to measure the distance between the ECPDHs. The effectiveness of the proposed method is demonstrated using some standard tests on MPEG-7 shape database. The results show the precision and recall of our method over other recent methods in the literature.