Fast-Match is a fast algorithm for approximate template matching under 2D affine
transformations that minimizes the Sum-of-Absolute-Differences (SAD) error measure. There …

SIFT is an image local feature description algorithm based on scale-space. Due to its strong
matching ability, SIFT has many applications in different fields, such as image retrieval …

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 …

For defect detection in nonperiodical pattern images, such as printed circuit boards or
integrated circuit dies found in the electronic industry, template matching could be the only …

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 …

Multi-spectral template matching (MSTM) based object detection approaches can be widely
used in robotics and aerospace systems for fine-grained object discovery. However, the …

Patterns, which are collections of elements arranged in regular or near-regular
arrangements, are an important graphic art form and widely used due to their elegant …

Image forensics is a rising topic as the trustworthy multimedia content is critical for modern
society. Like other vision-related applications, forensic analysis relies heavily on the proper …

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 …