Minimum Bounding Box: Unveiling the Power of Spatial Optimization in Computer Vision
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In geometry, the minimum bounding box or smallest bounding box for a point set S in N dimensions is the box with the smallest measure within which all the points lie. When other kinds of measure are used, the minimum box is usually called accordingly, e.g., "minimum-perimeter bounding box".
How you will benefit
(I) Insights, and validations about the following topics:
Chapter 1: Minimum bounding box
Chapter 2: Convex hull
Chapter 3: Collision detection
Chapter 4: Computational geometry
Chapter 5: Bounding volume
Chapter 6: Bounding sphere
Chapter 7: R-tree
Chapter 8: Convex polytope
Chapter 9: Minimum bounding rectangle
Chapter 10: Convex hull algorithms
(II) Answering the public top questions about minimum bounding box.
(III) Real world examples for the usage of minimum bounding box 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 Minimum Bounding Box.
