Vision Models For Target Detection And Recognition - In Memory Of Arthur MenendezEli Peli This book is an international collection of contributions from academia, industry and the armed forces. It addresses current and emerging Spatial Vision Models and their application to the understanding, prediction and evaluation of the tasks of target detection and recognition. The discussion in many of the chapters is framed in terms of military targets and military vision aids. However, the techniques analyses and problems are by no means limited to this area of application. The detection and recognition of an armored vehicle from a reconnaissance image are performed by the same visual system used to detect and recognize a tumor in an X-ray. The analysis of the interaction of the human visual system with night vision devices is not different from the analysis needed in the case of an operator examining structures using a remote (endoscopic) camera, etc. The book is organized into three general sections. The first covers basic modeling of central (foveal) vision and its theoretical background. The second is centered on the evaluation of model performance in applications, while the third is dedicated to aspects of peripheral vision modeling and the expansion of peripheral modeling to include visual search. |
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Vision Models for Target Detection and Recognition: In Memory of Arthur Menendez Eli Peli Limited preview - 1995 |
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acquisition acuity aliasing amplitude array axis background bandwidth c/deg channels chromatic aberration chromatic information computation cone contrast sensitivity contrast threshold contrast threshold function correlation cortical magnification curve density detection threshold discrimination display distance DSNR eccentricity effects entrance pupil experimental experiments eye's factor field test Figure filters Fourier foveal ganglion cells Gaussian grating human eye image quality image sharpness imagery input image lattice limit linear luminance measured mechanisms module neural image noise Nyquist frequency Nyquist limit observer optical orientation output parameters pattern peak profile perceived contrast perception performance peripheral vision photoreceptors pixels predict psychophysical pupil receptive field receptors recognition represent resolution response pooling retinal image sampling sensors signal simulation spatial frequency spatial vision spectra square waveform stimulus subjects suprathreshold task template temporal Thibos tuned Vision Res visual field visual processing visual system WT representation