A Comparison of FPGA and GPU for Real-Time Phase-Based Optical Flow, Stereo, and Local Image Features

State-of-the-art in Heterogeneous Computing

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A compact harmonic code for early vision based on anisotropic frequency channels

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Leveraging cost matrix structure for hardware implementation of stereo disparity computation using dynamic programming

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High-Performance Optical-Flow Architecture Based on a Multi-Scale, Multi-Orientation Phase-Based Model

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Performance Comparison of Graphics Processors to Reconfigurable Logic: A Case Study

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Comparing Hardware Accelerators in Scientific Applications: A Case Study

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Multi-port abstraction layer for FPGA intensive memory exploitation applications

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A cortical architecture on parallel hardware for motion processing in real time

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Stream-Centric Stereo Matching and View Synthesis: A High-Speed Approach on GPUs

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Optimization Strategies for High-Performance Computing of Optical-Flow in General-Purpose Processors

(2009) M. Anguita et al.   IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS FOR VIDEO TECHNOLOGY

Statistical Motion Information Extraction and Representation for Semantic Video Analysis

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Network-on-Chip Hardware Accelerators for Biological Sequence Alignment

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NVIDIA Tesla: A Unified Graphics and Computing Architecture

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Optic flow from unstable sequences through local velocity constancy maximization

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Local image phase, energy and orientation extraction using FPGAs

(2008) J. Díaz et al.   INTERNATIONAL JOURNAL OF ELECTRONICS