A coding method for face images by segmenting face regions such as eyes, mouth, etc. is introduced. Each region is removed from the face image, leaving a smoothly interpolated background which is suitable for e5cient compression. Extracted region images are coded using vector quantization. The overall method is found to achieve comparable compression ratios with compatible image coding methods....

Face detection locates faces prior to various face-related applications. The objective of face detection is to determine whether or not there are any faces in an image and, if any, the location of each face is detected. Face detection in real images is challenging due to large variability of illumination and face appearances. This paper proposes a face detection algorithm using the 3×3 block ra...

Reversing the luminance values of a face (contrast negation) is known to disrupt recognition. However, the effects of contrast negation are attenuated in chimeric images, in which the eye region is returned to positive contrast (S. Gilad, M. Meng, & P. Sinha, 2009, Role of ordinal contrast relationships in face encoding, Proceedings of the National Academy of Sciences, USA, Vol. 106, pp. 5353-5...

Robust face detection in the wild is one of the ultimate components to support various facial related problems, i.e. unconstrained face recognition, facial periocular recognition, facial landmarking and pose estimation, facial expression recognition, 3D facial model construction, etc. Although the face detection problem has been intensely studied for decades with various commercial applications...

This paper proposes a method for skin region segmentation for face images with unbalanced color and light based on preprocessing of a multicolor face image sequence. In this method, multicolor face images from a sequence are preprocessed in order to remove color offset and uneven brightness. Then the color data from the preprocessed face images are used for taking the average in order to remove...

This paper provides a novel approach towards face area localization through analyzing the shape characteristics of human body. The face region is extracted by determining the sharp increase in body pixels in the shoulder area from neck region. For ensuring face area skin color information is also analyzed. The experimental analysis shows that the proposed algorithm detects the face area effecti...

We report two experiments that aimed to determine where in the face the cues that signal kinship fall. In both experiments, participants were shown 30 pairs of photographs of children's faces. Half of the pairs portrayed siblings and half did not. The 220 participants were asked to judge whether each pair of photographs portrayed siblings. We measured the effect on kin recognition performance o...