… rate on Yale B face database, Principle Component … face recognition algorithms. The review
covers all the approaches that aim to solve all the problems that are created due to varying …

How well can human faces be identified by humans and by computers, using subjectively
judged "feature" descriptions like long ears, wide-set eyes, etc.? Three classes of experiments …

… Spatial Feature Interdependence Matrix (SFIM) based face descriptor is partially … a face
image, we decompose the target image into a number of local regions we then divide every face …

… To determine whether the response to faces was size-invariant, we varied image size in … to
faces was view-invariant by varying the direction of gaze and emotional expression in the face …

… with faces perpetuates a serious misconstrual of the face recognition … The problem of face
recognition is often presented as a … capture an individual’s appearance to varying degrees. …

… of facial images with varying degrees of realism. The degree of realism was manipulated
by morphing between images of artificial and real human faces: the degree of realism was rep…

… human face? This question remains unanswered, because pattern recognition by computer
is still too crude to achieve automatic identi fication of objects as complex as faces. … of varying …

… human faces with only a single face model per person is a difficult task, because the input
face image … This paper describes a flexible face identification system based on Gabor wavelet …

… , frontal views of faces with controlled lighting, not much work has taken face recognizers
be… a face recognizer that works under varying pose, the dificult part of which is to handle face …

… Experimental results are presented for a database of 690 face images obtained under widely
varying conditions of 3D pose, lighting , and facial expression. The system performs well on …