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...
Visual analysis of human behavior has generated considerable interest in the field of computer vision because of the wide spectrum of potential applications. In this paper, we pre...
Yu-Ming Liang, Sheng-Wen Shih, Arthur Chun-Chieh S...
Although gesture recognition has been studied extensively, communicative, affective, and biometrical “utility” of natural gesticulation remains relatively unexplored. One of t...
Abstract. With the adoption of tablet-based data entry devices, there is considerable interest in methods for converting hand-drawn sketches of flow charts, graphs and block diagr...
Akshaya Kumar Mishra, Justin A. Eichel, Paul W. Fi...
In Sparse Coding (SC), input vectors are reconstructed using a sparse linear combination of basis vectors. SC has become a popular method for extracting features from data. For a ...