edited by E Peli (The Schepens Eye Res. Inst., Harvard Medical School)

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.

• Quantittive Models for Pattern Detection and Discrimination (H R Wilson)
• Visual Processing in the Joint Spatial/Spatial-Frequency Domain (M A García-Pérez & V Sierra-Vázquez)
• Simulating Normal and Low Vision (E Peli)
• A Multiple Spatial Filter Model for Suprathreshold Contrast Perception (M W Cannon)
• Discrimination Information in Natural Radiance Spectra (W S Geisler)
• The Oracle Approach to Target Acquisition and Search Modelling (K J Cooke et al.)
• Characterization of Task Performance with Viewing Instruments (A van Meeteren)
• Validation of Prediction Models for Target Acquisition with Electro-Optical Sensors (B L O'Kane)
• Applying Human Spatial Vision Models to Real-World Target Detection and Identification: A Test of the Wilson Model (S R Thomas & N Barsalou)
• A Visual Discrimination Model for Imaging System Design and Evaluation (J Lubin)
• Template Recognition Based on Expansion Matching with Neural Lattice Implementation (J Ben-Arie & K R Rao)
• Modeling Off-Axis Vision I: The Optical Effects of Decentering Visual Targets or the Eye's Entrance Pupil (A Bradley & L N Thibos)
• Modeling Off-Axis Vision II: The Effect of Spatial Filtering and Sampling by Retinal Neurons (L N Thibos & A Bradley)
• Quantifying Target Contrast in Target Acquisition Research (W Kosnik)
• Simulation of Selective Attention and Training Effects in Visual Search and Detection (T J Doll et al.)