Multi View Three Dimensional Reconstruction: Advanced Techniques for Spatial Perception in Computer Vision

· Computer Vision Cartea 73 · One Billion Knowledgeable · Narată de AI de Maxwell (de la Google)
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What is Multi View Three Dimensional Reconstruction


3D reconstruction from multiple images is the creation of three-dimensional models from a set of images. It is the reverse process of obtaining 2D images from 3D scenes.


How you will benefit


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


Chapter 1: 3D Reconstruction from Multiple Images


Chapter 2: Fundamental Matrix (Computer Vision)


Chapter 3: Triangulation (Computer Vision)


Chapter 4: Perspective-n-Point


Chapter 5: Image Stitching


Chapter 6: Active Contour Model


Chapter 7: Bundle Adjustment


Chapter 8: Scale-Invariant Feature Transform


Chapter 9: 3D Object Recognition


Chapter 10: Camera Auto-Calibration


(II) Answering the public top questions about multi view three dimensional reconstruction.


(III) Real world examples for the usage of multi view three dimensional reconstruction 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 Multi View Three Dimensional Reconstruction.

Despre autor

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 master’s 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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