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Architectures for computer vision : from algorithm to chip with Verilog /
This book provides comprehensive coverage of 3D vision systems, from vision models and state-of-the-art algorithms to their hardware architectures for implementation on DSPs, FPGA and ASIC chips, and GPUs. It aims to fill the gaps between computer vision algorithms and real-time digital circuit impl...
| Clasificación: | Libro Electrónico |
|---|---|
| Autor principal: | |
| Formato: | Electrónico eBook |
| Idioma: | Inglés |
| Publicado: |
Singapore :
John Wiley & Sons Singapore Pte. Ltd.,
[2014]
|
| Temas: | |
| Acceso en línea: | Texto completo |
MARC
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| 100 | 1 | |a Jeong, Hong. | |
| 245 | 1 | 0 | |a Architectures for computer vision : |b from algorithm to chip with Verilog / |c Hong Jeong. |
| 246 | 3 | 0 | |a From algorithm to chip with Verilog |
| 264 | 1 | |a Singapore : |b John Wiley & Sons Singapore Pte. Ltd., |c [2014] | |
| 300 | |a 1 online resource (xv, 450 pages) | ||
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| 504 | |a Includes bibliographical references and index. | ||
| 588 | 0 | |a Print version record and CIP data provided by publisher. | |
| 505 | 0 | |a Architectures for Computer Vision -- Contents -- About the Author -- Preface -- Part One Verilog HDL -- 1 Introduction -- 1.1 Computer Architectures for Vision -- 1.2 Algorithms for Computer Vision -- 1.3 Computing Devices for Vision -- 1.4 Design Flow for Vision Architectures -- Problems -- References -- 2 Verilog HDL, Communication, and Control -- 2.1 The Verilog System -- 2.2 Hello, World! -- 2.3 Modules and Ports -- 2.4 UUT and TB -- 2.5 Data Types and Operations -- 2.6 Assignments -- 2.7 Structural-Behavioral Design Elements -- 2.8 Tasks and Functions -- 2.9 Syntax Summary -- 2.10 Simulation-Synthesis -- 2.11 Verilog System Tasks and Functions -- 2.12 Converting Vision Algorithms into Verilog HDL Codes -- 2.13 Design Method for Vision Architecture -- 2.14 Communication by Name Reference -- 2.15 Synchronous Port Communication -- 2.16 Asynchronous Port Communication -- 2.17 Packing and Unpacking -- 2.18 Module Control -- 2.19 Procedural Block Control -- Problems -- References -- 3 Processor, Memory, and Array -- 3.1 Image Processing System -- 3.2 Taxonomy of Algorithms and Architectures -- 3.3 Neighborhood Processor -- 3.4 BPBP Processor -- 3.5 DP Processor -- 3.6 Forward and Backward Processors -- 3.7 Frame Buffer and Image Memory -- 3.8 Multidimensional Array -- 3.9 Queue -- 3.10 Stack -- 3.11 Linear Systolic Array -- Problems -- References -- 4 Verilog Vision Simulator -- 4.1 Vision Simulator -- 4.2 Image Format Conversion -- 4.3 Line-based Vision Simulator Principle -- 4.4 LVSIM Top Module -- 4.5 LVSIM IO System -- 4.6 LVSIM RAM and Processor -- 4.7 Frame-based Vision Simulator Principle -- 4.8 FVSIM Top Module -- 4.9 FVSIM IO System -- 4.10 FVSIM RAM and Processor -- 4.11 OpenCV Interface -- Problems -- References -- Part Two Vision Principles -- 5 Energy Function -- 5.1 Discrete Labeling Problem -- 5.2 MRF Model -- 5.3 Energy Function. | |
| 505 | 8 | |a 5.4 Energy Function Models -- 5.5 Free Energy -- 5.6 Inference Schemes -- 5.7 Learning Methods -- 5.8 Structure of the Energy Function -- 5.9 Basic Energy Functions -- Problems -- References -- 6 Stereo Vision -- 6.1 Camera Systems -- 6.2 Camera Matrices -- 6.3 Camera Calibration -- 6.4 Correspondence Geometry -- 6.5 Camera Geometry -- 6.6 Scene Geometry -- 6.7 Rectification -- 6.8 Appearance Models -- 6.9 Fundamental Constraints -- 6.10 Segment Constraints -- 6.11 Constraints in Discrete Space -- 6.12 Constraints in Frequency Space -- 6.13 Basic Energy Functions -- Problems -- References -- 7 Motion and Vision Modules -- 7.1 3D Motion -- 7.2 Direct Motion Estimation -- 7.3 Structure from Optical Flow -- 7.4 Factorization Method -- 7.5 Constraints on the Data Term -- 7.6 Continuity Equation -- 7.7 The Prior Term -- 7.8 Energy Minimization -- 7.9 Binocular Motion -- 7.10 Segmentation Prior -- 7.11 Blur Diameter -- 7.12 Blur Diameter and Disparity -- 7.13 Surface Normal and Disparity -- 7.14 Surface Normal and Blur Diameter -- 7.15 Links between Vision Modules -- Problems -- References -- Part Three Vision Architectures -- 8 Relaxation for Energy Minimization -- 8.1 Euler-Lagrange Equation of the Energy Function -- 8.2 Discrete Diffusion and Biharminic Operators -- 8.3 SOR Equation -- 8.4 Relaxation Equation -- 8.5 Relaxation Graph -- 8.6 Relaxation Machine -- 8.7 Affine Graph -- 8.8 Fast Relaxation Machine -- 8.9 State Memory of Fast Relaxation Machine -- 8.10 Comparison of Relaxation Machines -- Problems -- References -- 9 Dynamic Programming for Energy Minimization -- 9.1 DP for Energy Minimization -- 9.2 N-best Parallel DP -- 9.3 N-best Serial DP -- 9.4 Extended DP -- 9.5 Hidden Markov Model -- 9.6 Inside-Outside Algorithm -- Problems -- References -- 10 Belief Propagation and Graph Cuts for Energy Minimization -- 10.1 Belief in MRF Factor System. | |
| 505 | 8 | |a 10.2 Belief in Pairwise MRF System -- 10.3 BP in Discrete Space -- 10.4 BP in Vector Space -- 10.5 Flow Network for Energy Function -- 10.6 Swap Move Algorithm -- 10.7 Expansion Move Algorithm -- Problems -- References -- Part Four Verilog Design -- 11 Relaxation for Stereo Matching -- 11.1 Euler-Lagrange Equation -- 11.2 Discretization and Iteration -- 11.3 Relaxation Algorithm for Stereo Matching -- 11.4 Relaxation Machine -- 11.5 Overall System -- 11.6 IO Circuit -- 11.7 Updation Circuit -- 11.8 Circuit for the Data Term -- 11.9 Circuit for the Differential -- 11.10 Circuit for the Neighborhood -- 11.11 Functions for Saturation Arithmetic -- 11.12 Functions for Minimum Argument -- 11.13 Simulation -- Problems -- References -- 12 Dynamic Programming for Stereo Matching -- 12.1 Search Space -- 12.2 Line Processing -- 12.3 Computational Space -- 12.4 Energy Equations -- 12.5 DP Algorithm -- 12.6 Architecture -- 12.7 Overall Scheme -- 12.8 FIFO Buffer -- 12.9 Reading and Writing -- 12.10 Initialization -- 12.11 Forward Pass -- 12.12 Backward Pass -- 12.13 Combinational Circuits -- 12.14 Simulation -- Problems -- References -- 13 Systolic Array for Stereo Matching -- 13.1 Search Space -- 13.2 Systolic Transformation -- 13.3 Fundamental Systolic Arrays -- 13.4 Search Spaces of the Fundamental Systolic Arrays -- 13.5 Systolic Algorithm -- 13.6 Common Platform of the Circuits -- 13.7 Forward Backward and Right Left Algorithm -- 13.8 FBR and FBL Overall Scheme -- 13.9 FBR and FBL FIFO Buffer -- 13.10 FBR and FBL Reading and Writing -- 13.11 FBR and FBL Preprocessing -- 13.12 FBR and FBL Initialization -- 13.13 FBR and FBL Forward Pass -- 13.14 FBR and FBL Backward Pass -- 13.15 FBR and FBL Simulation -- 13.16 Backward Backward and Right Left Algorithm -- 13.17 BBR and BBL Overall Scheme -- 13.18 BBR and BBL Initialization -- 13.19 BBR and BBL Forward Pass. | |
| 505 | 8 | |a 13.20 BBR and BBL Backward Pass -- 13.21 BBR and BBL Simulation -- Problems -- References -- 14 Belief Propagation for Stereo Matching -- 14.1 Message Representation -- 14.2 Window Processing -- 14.3 BP Machine -- 14.4 Overall System -- 14.5 IO Circuit -- 14.6 Sampling Circuit -- 14.7 Circuit for the Data Term -- 14.8 Circuit for the Input Belief Message Matrix -- 14.9 Circuit for the Output Belief Message Matrix -- 14.10 Circuit for the Updation of Message Matrix -- 14.11 Circuit for the Disparity -- 14.12 Saturation Arithmetic -- 14.13 Smoothness -- 14.14 Minimum Argument -- 14.15 Simulation -- Problems -- References -- Index -- EULA. | |
| 520 | |a This book provides comprehensive coverage of 3D vision systems, from vision models and state-of-the-art algorithms to their hardware architectures for implementation on DSPs, FPGA and ASIC chips, and GPUs. It aims to fill the gaps between computer vision algorithms and real-time digital circuit implementations, especially with Verilog HDL design. The organization of this book is vision and hardware module directed, based on Verilog vision modules, 3D vision modules, parallel vision architectures, and Verilog designs for the stereo matching system with various parallel architectures. Provides Verilog vision simulators, tailored to the design and testing of general vision chips Bridges the differences between C/C++ and HDL to encompass both software realization and chip implementation; includes numerous examples that realize vision algorithms and general vision processing in HDL Unique in providing an organized and complete overview of how a real-time 3D vision system-on-chip can be designed Focuses on the digital VLSI aspects and implementation of digital signal processing tasks on hardware platforms such as ASICs and FPGAs for 3D vision systems, which have not been comprehensively covered in one single book Provides a timely view of the pervasive use of vision systems and the challenges of fusing information from different vision modules Accompanying website includes software and HDL code packages to enhance further learning and develop advanced systems A solution set and lecture slides are provided on the book's companion website The book is aimed at graduate students and researchers in computer vision and embedded systems, as well as chip and FPGA designers. Senior undergraduate students specializing in VLSI design or computer vision will also find the book to be helpful in understanding advanced applications. | ||
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