Foxes do it... rabbits do it... Even Daddy Bear does it! Little children won't be able to resist pressing the buttons to make all the sounds in this hilarious book! Little Bear meets all the animals in the forest and discovers that sometimes, everyone has a noisy bottom...including himself! With five different sounds guaranteed to get children giggling.
14th International Conference, CAIP 2011, Seville, Spain, August 29-31, 2011, Proceedings
Author: Ainhoa Berciano
The two volume set LNCS 6854/6855 constitutes the refereed proceedings of the International Conference on Computer Analysis of Images and Patterns, CAIP 2011, which took place in Seville, Spain, August 29-31, 2011. The 138 papers presented together with 2 invited talks were carefully reviewed and selected from 286 submissions. The papers are organized in topical section on: motion analysis, image and shape models, segmentation and grouping, shape recovery, kernel methods, medical imaging, structural pattern recognition, Biometrics, image and video processing, calibration; and tracking and stereo vision.
The Classic Guide to Color Correction, Fifth Edition
Author: Dan Margulis
Publisher: Peachpit Press
The commonsense, by-the-numbers approach of Professional Photoshop has shaped the workflows of a generation of Photoshop experts. This new edition, the first in nearly five years, is completely updated for the age of digital photography. It continues the book’s tradition of introducing astoundingly effective, previously unknown methods of image enhancement. The original photographs found in the book come from a variety of professional sources, and all correction exercises are on the included CD. Professional Photoshop has changed radically from edition to edition, and this time is no exception—with almost 90 percent new content and completely overhauled coverage of curves, channel blending, and sharpening.Professional Photoshop offers a full explanation of: How curves bring out detail in the most important areas of the imagen A comprehensive strategy for blending channels to create deeper, stronger images The strengths and weaknesses of CMYK, LAB, and RGB, and when to use each one The first detailed look at the Shadow/Highlight command—and even more sophis-ticated ways to enhance contrast in the lightest and darkest parts of the imagen Sharpening strategies, in three full chapters, including the innovative hiraloam method (High Radius, Low Amount). Plus, a fiendishly effective method of merging hiraloam and conventional unsharp masking The realities—and the politics—of preparing files for commercial offset printing and how to deal with colors that are out of the press’s gamut What Camera Raw and similar acquisition modules can offer Typical problems of digital captures that were not found in the age of film— and how to correct for them
4th International Conference, ICIAR 2007, Montreal, Canada, August 22-24, 2007, Proceedings
Author: Mohamed Kamel
The refereed proceedings of the 4th International Conference on Image Analysis and Recognition are featured in this volume. Seventy-one full papers are presented along with forty-four poster papers. These papers cover image restoration and enhancement, image and video processing and analysis, image segmentation, computer vision, pattern recognition for image analysis, shape and matching, motion analysis, tracking, and more.
Quiet People in a Noisy World contains 72 essays about a close family living a simple existence, almost outside the consumer culture. Fifty-four of these essays have been previously published in Back Home, The Christian Science Monitor, The Denver Post, The Doula, Men’s Fitness, Northwest, Summit, and The Sun, A Magazine of Ideas.
Statistical Processing Techniques for Noisy Images presents a statistical framework to design algorithms for target detection, tracking, segmentation and classification (identification). Its main goal is to provide the reader with efficient tools for developing algorithms that solve his/her own image processing applications. In particular, such topics as hypothesis test-based detection, fast active contour segmentation and algorithm design for non-conventional imaging systems are comprehensively treated, from theoretical foundations to practical implementations. With a large number of illustrations and practical examples, this book serves as an excellent textbook or reference book for senior or graduate level courses on statistical signal/image processing, as well as a reference for researchers in related fields.
Abstract: "This paper describes sparse distributed memory (SDM) as a neural-net associative memory. It is characterized by two weight matrices and by a large internal dimension -- the number of hidden units is much larger than the number of input or output units. The first matrix, A, is fixed and possibly random, and the second matrix, C, is modifiable. The paper compares and contrasts SDM to (1) computer memory, (2) correlation-matrix memory, (3) feed-forward artificial neural network, (4) cortex of the cerebellum, (5) Marr and Albus models of the cerebellum, and (6) Albus' cerebellar model arithmetic computer (CMAC). Several variations of the basic SDM design are discussed: the selected-coordinate and hyperplane designs of Jaeckel, the pseudorandom associative neural memory of Hassoun, and SDM with real-valued input variables by Prager and Fallside. SDM research conducted mainly at RIACS in 1986-1991 is highlighted."