Collision Detection: Understanding Visual Intersections in Computer Vision

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What is Collision Detection


Collision detection is the computational problem of detecting an intersection of two or more spatial objects, commonly computer graphics objects. It has applications in various computing fields, primarily in computer graphics, computer games, computer simulations, robotics and computational physics. Collision detection is a classic problem of computational geometry. Collision detection algorithms can be divided into operating on 2D or 3D spatial objects.


How you will benefit


(I) Insights, and validations about the following topics:


Chapter 1: Collision detection


Chapter 2: Ray tracing (graphics)


Chapter 3: Binary space partitioning


Chapter 4: Centroid


Chapter 5: Branch and bound


Chapter 6: Vanishing point


Chapter 7: Quadtree


Chapter 8: Bounding volume


Chapter 9: Cycle detection


Chapter 10: Arrangement of lines


(II) Answering the public top questions about collision detection.


(III) Real world examples for the usage of collision detection in many fields.


Who this book is for


Professionals, undergraduate and graduate students, enthusiasts, hobbyists, and those who want to go beyond basic knowledge or information for any kind of Collision Detection.

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Fouad Sabry is the former Regional Head of Business Development for Applications at HP. Fouad has received his B.Sc. of Computer Systems and Automatic Control in 1996, dual masterтАЩs degrees from University of Melbourne (UoM) in Australia, Master of Business Administration (MBA) in 2008, and Master of Management in Information Technology (MMIT) in 2010. Fouad has more than 30 years of experience in Information Technology and Telecommunications fields, working in local, regional, and international companies, such as Vodafone and IBM. Fouad joined HP in 2013 and helped develop the business in tens of markets. Currently, Fouad is an entrepreneur, author, futurist, and founder of One Billion Knowledge (1BK) Initiative.

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