Dog experts, ornithologists, radiologists and other specialists are noted for their remarkable abilities at categorizing, identifying and recognizing objects within their domain of expertise …
Object recognition requires both selectivity among different objects and tolerance to vastly different retinal images of the same object, resulting from natural variation in (eg) position …
Digital image processing is a popular subject evolving continuously. This book covers topics like image enhancement, transformation, segmentation, compression, restorations, image …
Understanding how populations of neurons encode information is the challenge faced by researchers in the field of neural coding. Focusing on the many mysteries and marvels of the …
This book explains the basic terminology used to discuss experiments and takes a brief look at the more than 150 year history of experiments in psychology. It covers how to generalize …
Much of the existing face recognition systems operate in 2D. As the search for improved recognition performance intensifies, alternative methods, eg, 3D, are under consideration …
KG Barnhurst, M Vari, Í Rodríguez - Journal of Communication, 2004 - Wiley Online Library
This essay documents the main currents of visual studies in communication. After a brief history of the emergence of the field, we review the record of published research in books …
Models of categorization typically rely on the use of stimuli composed of well-defined dimensions (eg, Ashby & Maddox (1998) in Choice, decision, and measurement: Essays in …
SM Stringer, ET Rolls - Neural Computation, 2002 - direct.mit.edu
To form view-invariant representations of objects, neurons in the inferior temporal cortex may associate together different views of an object, which tend to occur close together in …