Showing papers on "Three-dimensional face recognition published in 1986"

Practical Face Recognition and Verification with Wisard

Abstract: WISARD (Wilkie, Aleksander, and Stonham’s Recognition Device) is a general purpose pattern recognition machine with a special semi-parallel structure unlike that of conventional single instruction single data computers. The machine is self-adapting. It does not require programming where an explict set of rules, defining the operations to be performed on the data, have to be supplied. The behaviour of the system is established by a learning process whereby a representative set of patterns from the class of data to be recognised, is input to the machine. A wide range of pattern recognition problems can be solved with this approach, they include industrial inspection, speech recognition, medical pattern recognition and artificial vision.

Investigating Face Recognition with an Image Processing Computer

Abstract: All of us participating in this conference will, at some time or other, have ruminated deeply about faces and how we recognise them. The human visual recognition process is so astonishingly effortless, however, that most people take it entirely for granted, without questioning the extended complexity of neural processing that must be involved. So much so that it is sometimes difficult for people to realise just how complex is the process of visual perception, quite apart from the additional burden of recognition. Indeed, the Nobel Prizewinner Francis Crick (1979) expressed the problem well when he said “Few people realise what an astonishing achievement it is to be able to see at all”. One of the aims of my group at RARDE is to attempt an understanding of visual recognition, in order that it may be modelled and, ultimately, simulated by computers and electro-optic imaging systems. Clearly, an early stage in the development of modelling must involve the collection of relevant data in several different fields of human endeavour, such as physical optics, psychology and neurophysiology. The decision to use faces as recognition targets was based on their essential ubiquity and familiarity; observers would not require special training to recognise them.

Disorders of Face Recognition

Abstract: It is with some surprise and not a little amusement that we learn that the prolific writer and composer of hymns, Sabine Baring-Gould, once lifted up a child, saying “And whose little girl are you, my dear?” She replied, sobbing “I’m yours, Daddy.”

Speech recognition enhancement by lip information

Abstract: Though technology in speech recognition has progressed recently, Automatic Speech Recognition (ASR) is vulnerable to noise. Lip-information is thought to be useful for speech recognition in noisy situations, such as in a factory or in a car.This paper describes speech recognition enhancement by lip-information. Two types of usage are dealt with. One is the detection of start and stop of speech from lip-information. This is the simplest usage of lip-information. The other is lip-pattern recognition, and it is used for speech recognition together with sound information. The algorithms for both usages are proposed, and the experimental system shows they work well. The algorithms proposed here are composed of simple image-processing. Future progress in image-processing will make it possible to realize them in real-time.