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Guide to 3D Vision Computation: Geometric Analysis and Implementation

This classroom-tested and easy-to-understand textbook/reference describes the state of the art in 3D reconstruction from multiple images;

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3D Rotations

3D rotation analysis is widely encountered in everyday problems thanks to the development of computers. Sensing 3D using cameras and;

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3D Rotations

3D rotation analysis is widely encountered in everyday problems thanks to the development of computers. Sensing 3D using cameras and;

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Geometric Algebra for Computer Science (Revised Edition)

> Geometric algebra (GA) is a compact, time-effective, and performance-enhancing way to represent the geometry of 3D objects in computer;

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Design and Implementation of 3D Graphics Systems

Design and Implementation of 3D Graphics Systems covers the computational aspects of geometric modeling and rendering 3D scenes. Special;

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Design and Implementation of 3D Graphics Systems

Design and Implementation of 3D Graphics Systems covers the computational aspects of geometric modeling and rendering 3D scenes. Special;

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Understanding Geometric Algebra

and then explains how they are combined to define the field of geometric algebra. It starts with 3D Euclidean geometry along with discussions;

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Understanding Geometric Algebra

Understanding Geometric Algebra: Hamilton, Grassmann, and Clifford for Computer Vision and Graphics introduces geometric algebra with an;

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Spectral Geometry of Shapes

analysis, medical image analysis, computer vision and computer graphics. Due to the rapid advancement of 3D acquisition technologies there has been;

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Artificial Vision for Mobile Robots

To give mobile robots real autonomy, and to permit them to act efficiently in a diverse, cluttered, and changing environment, they must be;

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Automated Deduction in Geometry

, combinatorics, and numerics; symbolic and numeric methods for geometric computation, and geometric constraint solving. Further issues are the design and;

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Photogrammetric Computer Vision

and research in computer vision, and this is the first book to present a joint approach from the converging fields of photogrammetry and;

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2D and 3D Image Analysis by Moments

, watermarking, and forensic analysis are demonstrated. Attention is also paid to efficient algorithms of moment computation. Key features: * Presents a;

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An Introduction to 3D Computer Vision Techniques and Algorithms

, distortion and noise in images plus image warping procedures. An Introduction to 3D Computer Vision Algorithms and Techniques is a valuable;

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Handbook of Image Processing and Computer Vision

autonomously. Volume 3 (From Pattern to Object) examines object recognition, neural networks, motion analysis, and 3D reconstruction of a scene;

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Solving Geometric Constraint Systems

Solving Geometric Constraints records and explains the formal basis for graphical analysis techniques that have been used for;

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Architectures for Computer Vision

This book provides comprehensive coverage of 3D vision systems, from vision models and state-of-the-art algorithms to their hardware;

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Linear Algebra for Pattern Processing

point data and factorizing matrices in high dimensions in relation to motion image analysis. Finally, we introduce a computer vision application;

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Geometric Invariance in Computer Vision

problems in computer vision, and looks at the future possibilities, particularly the notion that invariant analysis might provide a solution to the;

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3D Images of Materials Structures: Processing and Analysis

properties.This first book on processing and analysis of 3D images of materials structures describes how to develop and apply efficient and;

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Symbolic Computation And Education

development to symbolic and algebraic manipulation and automated geometric reasoning, and to the design and implementation of educational software and;

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OpenCV with Python By Example

amazing computer vision applications with ease. We start off with applying geometric transformations to images. We then discuss affine and;

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Linear Programming: An Introduction to Finite Improvement Algorithms

theory and computation for a first course in linear programming. In addition to substantial material on mathematical proof techniques and;

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Computer Analysis of Images and Patterns

multimedia, model-based vision approaches, motion analysis, natural computation for digital imagery, segmentation and grouping, and shape;

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Computer Analysis of Images and Patterns

multimedia, model-based vision approaches, motion analysis, natural computation for digital imagery, segmentation and grouping, and shape;

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Vectors and Matrices for Geometric and 3D Modeling

studies in geometric and 3D modeling, animation, CGI, or CAD/CAM, this work serves as an introduction to vectors and matrices, and provides a good;

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Computational Conformal Geometry

and Riemann surface theories applied to geometric modeling, computer graphics, computer vision, medical imaging, visualization, scientific;

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