Introduction to Geometric Computing

The geometric ideas in computer science, mathematics, engineering, and physics have considerable overlap and students in each of these disciplines will eventually encounter geometric computing problems. The topic is traditionally taught in mathematics departments via geometry courses, and in compute...

Πλήρης περιγραφή

Λεπτομέρειες βιβλιογραφικής εγγραφής
Κύριος συγγραφέας: Ghali, Sherif (Συγγραφέας)
Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
Γλώσσα:English
Έκδοση: London : Springer London, 2008.
Θέματα:
Διαθέσιμο Online:Full Text via HEAL-Link
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100 1 |a Ghali, Sherif.  |e author. 
245 1 0 |a Introduction to Geometric Computing  |h [electronic resource] /  |c by Sherif Ghali. 
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300 |a XVII, 340 p.  |b online resource. 
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505 0 |a Euclidean Geometry -- 2D Computational Euclidean Geometry -- Geometric Predicates -- 3D Computational Euclidean Geometry -- Affine Transformations -- Affine Intersections -- Genericity in Geometric Computing -- Numerical Precision -- Non-Euclidean Geometries -- 1D Computational Spherical Geometry -- 2D Computational Spherical Geometry -- Rotations and Quaternions -- Projective Geometry -- Homogeneous Coordinates for Projective Geometry -- Barycentric Coordinates -- Oriented Projective Geometry -- Oriented Projective Intersections -- Coordinate-Free Geometry -- Homogeneous Coordinates for Euclidean Geometry -- Coordinate-Free Geometric Computing -- to CGAL -- Raster Graphics -- Segment Scan Conversion -- Polygon-Point Containment -- Illumination and Shading -- Raster-Based Visibility -- Ray Tracing -- Tree and Graph Drawing -- Tree Drawing -- Graph Drawing -- Geometric and Solid Modeling -- Boundary Representations -- The Halfedge Data Structure and Euler Operators -- BSP Trees in Euclidean and Spherical Geometries -- Geometry-Free Geometric Computing -- Constructive Solid Geometry -- Vector Visibility -- Visibility from Euclidean to Spherical Spaces -- Visibility in Space. 
520 |a The geometric ideas in computer science, mathematics, engineering, and physics have considerable overlap and students in each of these disciplines will eventually encounter geometric computing problems. The topic is traditionally taught in mathematics departments via geometry courses, and in computer science through computer graphics modules. This text isolates the fundamental topics affecting these disciplines and lies at the intersection of classical geometry and modern computing. The main theme of the book is the definition of coordinate-free geometric software layers for Euclidean, spherical, projective, and oriented-projective geometries. Results are derived from elementary linear algebra and many classical computer graphics problems (including the graphics pipeline) are recast in this new language. Also included is a novel treatment of classical geometric and solid modeling problems. The definition of geometric software layers promotes reuse, speeds up debugging, and prepares the ground for a thorough discussion of advanced topics. Start-up programs are provided for many programming exercises making this an invaluable book for computer science lecturers as well as software developers and researchers in the computer graphics industry. 
650 0 |a Computer science. 
650 0 |a Software engineering. 
650 0 |a Computer science  |x Mathematics. 
650 0 |a Computer graphics. 
650 0 |a Computer-aided engineering. 
650 0 |a Geometry. 
650 1 4 |a Computer Science. 
650 2 4 |a Software Engineering/Programming and Operating Systems. 
650 2 4 |a Geometry. 
650 2 4 |a Math Applications in Computer Science. 
650 2 4 |a Computer Graphics. 
650 2 4 |a Computer-Aided Engineering (CAD, CAE) and Design. 
650 2 4 |a Computer Imaging, Vision, Pattern Recognition and Graphics. 
710 2 |a SpringerLink (Online service) 
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776 0 8 |i Printed edition:  |z 9781848001145 
856 4 0 |u http://dx.doi.org/10.1007/978-1-84800-115-2  |z Full Text via HEAL-Link 
912 |a ZDB-2-SCS 
950 |a Computer Science (Springer-11645)