Pattern Recognition by Humans and Machines

Pattern Recognitions by Humans and Machines, Volume 2: Visual Perceptions covers aspects of research on visual perception. The book discusses visual form perception, figure-ground organization, and the spatial and temporal responses of the visual system; eye movements; and visual pattern perception. The text also describes a computer vision model based on psychophysical experiments; perspectives from brain theory and artificial intelligence; and the capacity to extract shape properties and spatial relations among objects and objects' parts. Knowledge-mediated perception is also considered. Psychologists and people involved in the study of visual perceptions will find the book useful.

Preface Contents of Volume 11. Visual Form Perception: An Overview I. Introduction II. Measures of Grouping and Configuration III. Emergent Features and Task Performance IV. Perceptual Glue V. The Creation and Destruction of Emergent Features VI. Summary References 2. Figure-Ground Organization and the Spatial and Temporal Responses of the Visual System I. Introduction II. How Perceived Figure-Ground Affects the Spatial, Temporal, and Orientation Responses of the Visual System III. How Spatial and Temporal Responses of the Visual System Affect Figure-Ground Organization IV. Concluding Remarks References 3. Eye Movements and Visual Pattern Perception I. Introduction II. Structures and Mechanisms: Passive Components in Active Looking III. Central Processes Implicated in the Control of Visual Gaze and Selective Attention IV. Overview and Extensions References 4. A Computer Vision Model Based on Psychophysical Experiments I. What Is Computer Vision II. What Can Computational Vision Offer Psychology III. Issues Involved in Computational Models IV. Analysis of Line Drawings V. Psychophysical Experiments VI. Creation of a Computational Model VII. Results of the Edge-Enhancement Model VIII. Relation to Other Work IX. Theoretical Points Raised by the Edge-Enhancement Model X. Psychophysical Research and Computational Vision References 5. Schemas and Perception: Perspectives from Brain Theory and Artificial Intelligence I. Introduction II. Schemas and Action-Oriented Perception III. Segmentation of Visual Scenes IV. Competition and Cooperation V. Epilogue: Unities and Diversities References 6. Visual Routines: Where Bottom-Up and Top-Down Processing Meet I. The Perception of Spatial Relations II. Visual Routines and Their Role in the Processing of Visual Information III. The Elemental Operations IV. The Assembly, Compilation, and Storage of Visual Routines V. Summary References 7. Knowledge-Mediated Perception I. Introduction II. Control Flow III. Knowledge Representation IV. To Mediate or Not to Mediate V. Knowledge Mediation Put to Use References Index