Computer Vision: From Surfaces to 3D Objects

ISBN-13: 9781439817124 / Angielski / Twarda / 2011 / 292 str.

Tyler, Christopher W.

Opis

Taking an integrated approach to the mathematical, computational, and neuroscientific strategies to analyze 3D structures in a visual scene, this book offers the developments in the third dimension of conceptualization. It addresses issues in surface representation and layout such as surface invariants, shape constancy, and Bayesian shape priors.

Spis treści

Introduction. Scene Statistics and 3D Surface Perception. The Theory of Swirling Fields: Segmenting a Scene into Surfaces. Mechanisms for Propagating Surface Information in 3D Reconstruction. 3D Surface Representation Using Ricci Flow. Cue Interpretation and Propagation: Flat versus Nonflat Visual Surfaces. Symmetry, Shape, Surfaces, and Objects. Noncommutative Field Theory in the Primary Visual Cortex. Contour-, Surface-, and Object-Related Coding in the Visual Cortex. From Surfaces to Objects: A Neuroanalytic Approach. 3D and Spatiotemporal Interpolation in Object and Surface Formation. The Perceptual Representation of 3D Shape. References. Index.

O autorze

Christopher W. Tyler is the director of the Brain Imaging Center at the Smith-Kettlewell Eye Research Institute. His current research encompasses brain imaging studies and mathematical modeling of the mechanisms of human stereoscopic depth, motion, and face perception as well as higher cognitive processing. He and his team have developed new methods to determine the dynamics of the neural population responses underlying brain imaging signals. By designing stimuli to probe specific neural sub-populations, this new methodology can be used to explore neural properties in the human brain and the changes in neural dynamics during the learning process.