Markov random field (MRF) theory provides a basis for modeling contextual constraints in visual processing and interpretation. It enables us to develop optimal vision algorithms sy...
"Pattern recognition techniques are concerned with the theory and algorithms of putting abstract objects, e.g., measurements made on physical objects, into categories. Typical...
"This course will consist of a number of major sections. The first will be a short review of some preliminary material, including asymptotics, summations, and recurrences and ...
Due to the capacity of pan-tilt-zoom (PTZ) cameras to
simultaneously cover a panoramic area and maintain high
resolution imagery, researches in automated surveillance
systems wi...
Andreas Koschan, Anis Drira, Chung-Chen Chen, Mong...
We present a face recognition method based on sparse representation for recognizing 3D face meshes under expressions using low-level geometric features. First, to enable the applic...