Showing papers on "3D single-object recognition published in 1976"
TL;DR: A very brief survey of recent developments in basic pattern recognition and image processing techniques is presented.
Abstract: Extensive research and development has taken place over the last 20 years in the areas of pattern recognition and image processing. Areas to which these disciplines have been applied include business (e. g., character recognition), medicine (diagnosis, abnormality detection), automation (robot vision), military intelligence, communications (data compression, speech recognition), and many others. This paper presents a very brief survey of recent developments in basic pattern recognition and image processing techniques.
153 citations
TL;DR: A parameterized structural representation system for this class of events is discussed and a variety of alternative approaches are considered in light of the potential combinatorial explosions which might arise in applications of these procedures.
19 citations
TL;DR: In this article, the inverse Fourier transform was used to obtain separate reflection signals corresponding to a large number of reflecting points of an object, whereby the features of the object are recognized by utilizing the reflection signals.
Abstract: An object recognition system wherein, in order to derive the features of an object to-be-recognized such as shape and size from a reflected wave or echo, the ratio between a signal obtained by Fourier transforming a part of a transmitting wave for the object and a signal obtained by Fourier transforming a received reflecting wave is subjected to the inverse Fourier transform so as to obtain separate reflection signals corresponding to a large number of reflecting points of the object, whereby the features of the object are recognized by utilizing the reflection signals.
15 citations
01 Dec 1976
5 citations
[...]
TL;DR: Applications of pattern recognition include character recognition, target detection, medical diagnosis, analysis of biomedical signals and images, remote sensing, identification of human faces and fingerprints, reliability, speech recognition and understanding, and machine parts recognition.
Abstract: During the past fifteen years, there has been a considerable growth of interest in problems of pattern recognition. This interest has created an increasing need for theoretical methods and experimental software and hardware for use in the design of pattern recognition systems. A number of books have been published on this subject,1-16and some special pattern recognition machines have been designed and built for practical use. Applications of pattern recognition include character recognition,12target detection, medical diagnosis, analysis of biomedical signals and images, remote sensing, identification of human faces and fingerprints, reliability,17socio-economics,18speech recognition and understanding,19and machine parts recognition.
1 citations