Visual Information Processing

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Computational Vision

This text provides an introduction to computational aspects of early vision, in particular, color, stereo, and visual navigation. It integrates approaches from psychophysics and quantitative neurobiology, as well as theories and algorithms from machine vision and photogrammetry. When presenting mathematical material, it uses detailed verbal descriptions and illustrations to clarify complex points. The text is suitable for upper-level students in neuroscience, biology, and psychology who have basic mathematical skills and are interested in studying the mathematical modeling of perception.
Visual Information Processing

Visual Information Processing documents the Proceedings of the Eighth Annual Carnegie Symposium on Cognition, held at the Carnegie-Mellon University, Pittsburgh, Pennsylvania on May 19, 1972. This book compiles papers on the results from ongoing, programmatic research projects that aim to develop information processing models of cognition. The role of visual processes in cognition and language comprehension and explicit computer simulation of the memory-scanning task are discussed in detail. Other topics include the chronometrie studies of the rotation of mental images; function of visual imagery in elementary mathematics; and semantic prerequisites for comprehension. The production system for counting, subitizing, and adding; visual processes in linguistic comprehension; and models of control structures are also deliberated. This publication is a good source for students and researchers interested in images.
Human Information Processing

Author: Charles Chubb (PhD.)
language: en
Publisher: American Psychological Association (APA)
Release Date: 2013
As we interact with our environment, our senses absorb large amounts of information that our brains interpret and catalogue. This sensory data then influences how we learn from our environment and interact with it in the future. Understanding the mechanisms by which we perceive, decipher, and retain information is key to understanding ourselves and answering the questions, ""How do we learn?"" and ""How can we improve our learning experiences?"" This book seeks to answer these questions by focusing on three topics within the field of cognitive psychology that directly influence human information processing: vision, memory, and attention. Inspired by the work of George Sperling, a renowned expert in cognitive science and an early pioneer in the study of human information processing, the contributors to this book examine new computational models and methodologies. They study concepts such as the effects of human eye movements on our interpretation of visual stimuli to demonstrate how vision, memory, and attention are interlinked, and how they influence how we learn. The contributors also describe real-world applications for research, including technological innovations that can augment our senses and help us derive more information from our environment.