Showing papers on "Visual analytics published in 1981"
Book•
1 Jan 1981TL;DR: When reading has become a habit, you will not make it as disturbing activities or as boring activity, and you can gain many benefits and importances of reading.
Abstract: Originally published in 1981, this third volume deals with the empirical data base and the theories concerning visual perception – the set of mental responses to photic stimulation of the eyes. As the book develops, the plan was to present a general taxonomy of visual processes and phenomena. It was hoped that such a general perspective would help to bring some order to the extensive, but largely unorganized, research literature dealing with our immediate perceptual responses to visual stimuli at the time. The specific goal of this work was to provide a classification system that integrates and systematizes the data base of perceptual psychology into a comprehensive intellectual scheme by means of an eclectic, multi-level metatheory invoking several different kinds of explanation.
161 citations
1 Sep 1981
3 citations
29 Oct 1981
TL;DR: It will be shown that a small numbered set of images created from filters based on biological data can provide a rich array of information about any object: contrast, general form, identification, textures and edges.
Abstract: Creating machines that will see in human-like fashion requires an understanding of human perception. This paper summarizes certain advances in visual science that suggests perception may be structured from a hierarchy of filtered images. It will be shown that a small numbered set of images created from filters based on biological data can provide a rich array of information about any object: contrast, general form, identification, textures and edges. It is argued that machine perception will require similar parallel processing of an array of filtered images if human-like visual performance is required. Some visual problems, such as certain visual illusions, multi-stable objects and masking are analyzed in terms of limitations of biological filtering. Machine solutions to those problems will be discussed.
2 citations