Zobrazeno 1 - 10
of 15
pro vyhledávání: '"Shane W. McWhorter"'
Publikováno v:
Proceedings of the Human Factors and Ergonomics Society Annual Meeting. 37:1310-1314
Work in progress at Georgia Tech to develop a model of human pattern perception, visual search, and detection is reviewed. The model's algorithms are based on research on low-level visual processes. Recent advances in that field have led to the devel
Publikováno v:
Proceedings of the Human Factors Society Annual Meeting. 36:1420-1424
Two traditions of vision modeling have coexisted for many years with little or no transfer of information between them. Those interested in models of visual target acquisition for real-world scenarios have developed engineering models, which are esse
Autor:
Larry F. Hodges, Shane W. McWhorter
Publikováno v:
Signal Processing: Image Communication. 4:3-13
Two experiments were performed to rank different types of display formats in terms of geometric information conveyed and perceived realism of objects. Display types tested were wireframe, wireframe with hidden lines removed (HLR), shaded solid, ortho
Publikováno v:
SPIE Proceedings.
The design of robust machine vision algorithms is one of the most difficult parts of developing and integrating automated systems. Historically, most of the techniques have been developed using ad hoc methodologies. This problem is more severe in the
Autor:
William R. Owens, Morris C. Hetzler, Shane W. McWhorter, Simeon D. Harbert, David E. Schmieder, John Stewart, Albert D. Sheffer, Theodore J. Doll, Anthony A. Wasilewski, Gregory L. Galloway
Publikováno v:
SPIE Proceedings.
The Georgia Tech Research Institute has developed an integrated suite of software for Visual and Electro-Optical (VISEO) detection analysis, under the sponsorship of the Army Aviation and Troop Command, Aviation Applied Technology Directorate. The VI
Publikováno v:
SPIE Proceedings.
A simulation of human pattern recognition is outlined which classifies objects based on outputs of a computational vision model, called the Georgia Tech Vision (GTV) model. It is shown that the simulation is able to identify high- level features of m
Publikováno v:
Vision Models for Target Detection and Recognition: In Memory of Arthur Menendez
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d7ef2d3f840aa1d84d464604219cb301
https://doi.org/10.1142/9789812831200_0015
https://doi.org/10.1142/9789812831200_0015
Publikováno v:
SPIE Proceedings.
Work in progress at Georgia Tech to develop a model of human pattern perception, visual search, and detection is reviewed. The model's algorithms are based on research on low-level visual processes. Recent advances in the field have led to the develo
Publikováno v:
SPIE Proceedings.
Two experiments were performed to rank different types of display formats common to CAD applications in terms of geometric information conveyed and perceived realism of objects. Display types tested were: wireframe, wireframe with hidden lines remove
Publikováno v:
Optical Engineering. 37:2006
Most current artificial vision systems lack robustness and are applicable only to a narrow range of tasks. Crevier (1997) has suggested that this is due to their reliance on a small number of vision mechanisms and to lack of knowledge about how visio