A feasibility study for a new method for content based image retrieval is presented. First, an image representation using multiscale top points is introduced. This representation is validated using a minimal variance reconstruction algorithm. The image retrieval problem can now be translated into comparing distances between point sets. For this purpose the proportional transportation distance (PTD) is used. A method is proposed using multiscale top points and their reconstruction coefficients in the PTD to define these distances between images. We present some experiments with promising results on a database with face images. © Springer-Verlag Berlin Heidelberg 2003.
CITATION STYLE
Kanters, F., Platel, B., Florack, L., & Ter Haar Romeny, B. M. (2003). Content based image retrieval using multiscale top points: A feasibility study. Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 2695, 33–43. https://doi.org/10.1007/3-540-44935-3_3
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