Algoritmos modernos de estereogramas para el arte y la visualización científica: un libro de recursos en C++

Imagine looking at a picture on a printed page or computer screen, adjusting your eyes in a manner that most people can learn easily, and suddenly having objects pop out at you in vivid 3D. Many people have already experienced this with the Magic Eye and related posters that were massively popular in the 90's. But what is not so well known is that this single-image stereogram technology has come a long way since those early days. The big breakthrough came when algorithms were discovered that could map textures onto the surface of single-image stereograms. I believe this is the only available book that delves deeply into stereogram algorithms, including highly documented C++ source code. These algorithms can be used to great effect by artists to create works of art that are far beyond the crude stereograms of yesteryear. Perhaps even more importantly, the ability to display depth maps in clear stereo using only a single printed image can be invaluable for scientific presentations. This book is an essential resource for anyone writing programs for stereogram generation.

Autor: Timothy Masters
Editorial: Createspace Independent Publishing Platform
Publicado: 08/08/2018
Páginas: 154
Tipo de encuadernación: Tapa blanda
Peso: 0.87lbs
Tamaño: 8.50h x 8.50w x 0.40d
ISBN13: 9781719097406
ISBN10: 1719097402
Categorías BISAC:
- Informática | Gráficos por computadora

Sobre el autor
Timothy Masters obtuvo un doctorado en estadística matemática con especialización en computación numérica. Desde entonces ha trabajado continuamente como consultor independiente para el gobierno y la industria. Su investigación inicial incluyó la detección automatizada de características en fotografías de alta altitud mientras desarrollaba aplicaciones para la predicción de inundaciones y sequías, la detección de silos de misiles ocultos y la identificación de vehículos militares amenazantes. Posteriormente, trabajó con investigadores médicos en el desarrollo de algoritmos informáticos para distinguir entre células benignas y malignas en biopsias por aguja. Durante los últimos veinte años se ha centrado principalmente en métodos para evaluar sistemas automatizados de comercio en los mercados financieros. Es autor de numerosos libros sobre aplicaciones de modelado predictivo: Practical Neural Network Recipes in C++ (Academic Press, 1993) Signal and Image Processing with Neural Networks (Wiley, 1994) Advanced Algorithms for Neural Networks (Wiley, 1995) Neural, Novel, and Hybrid Algorithms for Time Series Prediction (Wiley, 1995) Assessing and Improving Prediction and Classification (CreateSpace, 2013, Apress, 2018) Deep Belief Nets in C++ and CUDA C: Vol I: Restricted Boltzmann Machines and Supervised Feedforward Networks (CreateSpace, 2015, Apress, 2018) Deep Belief Nets in C++ and CUDA C: Vol II: Autoencoding in the Complex Domain (CreateSpace, 2015, Apress, 2018) Deep Belief Nets in C++ and CUDA C: Vol III: Convolutional Nets (CreateSpace, 2016, Apress, 2018) Data Mining Algorithms in C++ (CreateSpace, 2016, Apress, 2018) Testing and Tuning Market Trading Systems (CreateSpace, 2018)

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