We study solutions to the problem of evaluating image similarity in the context of content-based image retrieval (CBIR). Retrieval is formulated as a classification problem, wher...
Image based rendering (IBR) consists of several steps: (i) Calibration (or ego-motion computation) of all input images. (ii) Determination of regions in the input images used to s...
Clustering is the problem of identifying the distribution of patterns and intrinsic correlations in large data sets by partitioning the data points into similarity classes. This p...
The Structural SIMilarity (SSIM) index is a novel method for measuring the similarity between two images. The SSIM index can be viewed as a quality measure of one of the images bei...