We present a new algorithm for a robust family of Earth Mover's Distances-EMDs with
thresholded ground distances. The algorithm transforms the flow-network of the EMD so that …

We present a new metric between histograms such as SIFT descriptors and a linear time
algorithm for its computation. It is common practice to use the L 2 metric for comparing SIFT …

We propose a novel method for template matching in unconstrained environments. Its
essence is the Best Buddies Similarity (BBS), a useful, robust, and parameter-free similarity …

We propose a novel measure for template matching named Deformable Diversity Similarity--
based on the diversity of feature matches between a target image window and the template …

Rank correlation measures are known for their resilience to perturbations in numeric values
and are widely used in many evaluation metrics. Such ordinal measures have rarely been …

Pattern matching is widely used in signal processing, computer vision, and image and video
processing. Full search equivalent algorithms accelerate the pattern matching process and …

We propose a novel method for template matching in unconstrained environments. Its
essence is the Best-Buddies Similarity (BBS), a useful, robust, and parameter-free similarity …

We present an efficient and noise robust template matching method based on asymmetric
correlation (ASC). The ASC similarity function is invariant to affine illumination changes and …

The spatial object detection for autonomous navigation is an active research topic with many
works published about it, many of them use object detection and stereo vision systems to …

The microgrid (MG) is a complicated cyber-physical system that operates based on
interactions between physical processes and computational components, which make it …