A new localized and computationally efficient approach is presented for shift/space-variant image restoration. Unlike conventional approaches, it models shift-variant blurring in...
Overcomplete representations are attracting interest in image processing theory, particularly due to their potential to generate sparse representations of data based on their morp...
We propose an advanced visual hull technique to compensate for outliers using reliabilities of the silhouettes. The proposed method consists of a foreground extraction technique b...
Hansung Kim, Ryuuki Sakamoto, Itaru Kitahara, Neal...
The best performing systems in the area of automatic speaker recognition have focused on using short-term, low-level acoustic information, such as sepstral features. Recently, vari...
—Automatic understanding of human behavior is an important and challenging objective in several surveillance applications. One of the main problems of this task consists in accur...