Applications of Spatial Data Structures: Computer Graphics, Image Processing and Gis (repost)
Applications of Spatial Data Structures: Computer Graphics, Image Processing and Gis By Hanan Samet
Publisher: Add iso n-Wes ley 1990 | 516 Pages | ISBN: 020150300X | DJVU | 5 MB
Publisher: Add iso n-Wes ley 1990 | 516 Pages | ISBN: 020150300X | DJVU | 5 MB
The quadtree and octree are hierarchical data structures used to represent spatial data. They are based on the principle of recursive decomposition (similar to divide and conquer methods). This book focuses on the use of quadtree and octree representations of region data (in two and three dimensions, respectively) in applications in computer graphics, image processing, and geographic information systems (Gis), as well as computer vision, robotics, pattern recognition, solid modeling, and other areas. For a comprehensive treatment of related hierarchical representations of spatial data including points, lines, rectangles, regions, and volumes.