Computational Vision Systems and Applications of Pattern Recognition

Computational vision systems and applications of pattern recognition have infiltrated into various fields as an important technology. All processing systems by computers are designed as efficient as possible for the intelligent performances. Computational vision often seeks to actualize human vision system for the intelligent performances. Nowadays, these technologies enable to recognize two-dimensional patterns, inspect failure and quality of substrate, detect and track human motion, recover the 3D shape from input images, etc. Then, applications of pattern recognition bear an essential part of these technologies. This session includes intelligent processing, artificial neural networks, an intelligent operation for application, computational vision processing with learning approach and cognitive processing including actual applications of pattern recognition. A special session on Computational Vision Systems and Applications of Pattern Recognition is included in Pervasive Patterns and Applications (PATTERNS) 2017 conference, held in Athens, Greece. Four papers address the challenges on the topics of computational vision systems and applications of pattern recognition that are important subjects to solve at present. Keywords–Virtual Reality; Shape from Shading; Point Light Source; Perspective Projection; Camera Calibration; Reflectance Parameter; Polyp Classification; Endoscope Image; Voting Processing; Pre-Trained Network; Convolutional Neural Network; Support Vector Machine; Defect Detection; Defect Classification; SURF.