Images containing faces are essential to intelligent vision-based human-computer
interaction, and research efforts in face processing include face recognition, face tracking …

Detecting faces in images with complex backgrounds is a difficult task. Our approach, which
obtains state of the art results, is based on a neural network model: the constrained …

Traditionally, scientific fields have defined boundaries, and scientists work on research
problems within those boundaries. However, from time to time those boundaries get shifted …

There has been a tremendous amount of research on object localization either involving
microphone arrays or video cameras. Considerable less attention has been paid, however …

Two dimensional space–time fan filters may be used for the highly-selective enhancement of
spatio-temporal plane-waves on the basis of their directions of arrival. Unlike uniform …

This paper presents a bibliography of over 2250 references related to computer vision and
image analysis, arranged by subject matter. The topics covered include computational …

Detecting faces in images with complex backgrounds is a difficult task. Our approach, which
obtains state-of-the-art results, is based on a generative neural network model: the …

Face detection is the most fundamental step for the research on image-based automated
face analysis such as face tracking, face recognition, face authentication, facial expression …

This paper presents a new color face image database for benchmarking of automatic face
detection algorithms and human skin segmentation techniques. It is named the VT-AAST …

This paper presents an automatic method for simultaneous varying pose face detection and
pose alignment from colour video images by using colour, shape, and texture information. At …