high performance computing on graphics processing units: hgpu.org

hgpu.org » Computer vision

Realtime affine-photometric KLT feature tracker on GPU in CUDA framework

Jun-Sik Kim, Myung Hwangbo, Takeo Kanade

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Tags: Computer vision, CUDA, Image processing, nVidia, nVidia GeForce 8600 M, nVidia GeForce 8800 GTX, nVidia GeForce 8800 Ultra, nVidia GeForce GTX 280, Optical flow, Video tracking

April 27, 2011 by hgpu

GPU Acceleration of Real-time Feature Based Algorithms

Jason M. Ready, Clark N. Taylor

Tags: Algorithms, Computer vision, Image processing, Video tracking

April 27, 2011 by hgpu

A GPU Based 3D Object Retrieval Approach Using Spatial Shape Information

Qian Zhang, Jinyuan Jia, Hongyu Li

Tags: 3D Graphics and Realism, Computer science, Computer vision, Rendering

April 26, 2011 by hgpu

Real-time 3D reconstruction and pose estimation for human motion analysis

Holger Graf, Sang Min Yoon, Cornelius Malerczyk

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Tags: Computer vision, CUDA, Image processing, Image reconstruction, nVidia, nVidia GeForce 8200

April 18, 2011 by hgpu

Performance of Optical Flow Techniques on Graphics Hardware

Marko Durkovic,Michael Zwick,Florian Obermeier,Klaus Diepold

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Tags: Computer science, Computer vision, nVidia, nVidia GeForce 6800 Ultra, nVidia GeForce FX 5900, Optical flow

April 17, 2011 by hgpu

Efficient design and implementation of visual computing algorithms on the GPU

In Kyu Park, Nitin Singhal, Man Hee Lee, Sungdae Cho

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Tags: Algorithms, Computer vision, CUDA, Image processing, JPEG2000, nVidia, nVidia GeForce 9800 GTX, OpenMP

April 14, 2011 by hgpu

Hardware-Efficient Belief Propagation

Chia-Kai Liang, Chao-Chung Cheng, Yen-Chieh Lai, Liang-Gee Chen, Homer H. Chen

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Tags: Algorithms, Computer vision, CUDA, Image processing, nVidia, nVidia GeForce 8800 GTS

April 13, 2011 by hgpu

GPU-Accelerated KLT Tracking with Monte-Carlo-Based Feature Reselection

Julius Fabian Ohmer, Nicholas J. Redding

Tags: Algorithms, Computer vision, Image processing, Video tracking

April 13, 2011 by hgpu

Real-time 3-D object recognition using scale invariant feature transform and stereo vision

Gee-Sern Hsu, Chyi-Yeu Lin, Jia-Shan Wu

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Tags: Cg, Computer science, Computer vision, GLSL, Image recognition, nVidia, nVidia GeForce 8400 GS, nVidia GeForce 8500 GT, OpenGL, SIFT

April 11, 2011 by hgpu

A simple and efficient way to compute depth maps for multi-view videos

Gael Sourimant

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Tags: Algorithms, Computer science, Computer vision, Optical flow, Video tracking

April 9, 2011 by hgpu

Implementation of Kernel Methods on the GPU

Julius Ohmer, Frederic Maire, Ross Brown

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Tags: Cg, Computer vision, Image processing, Image recognition, nVidia, nVidia GeForce 6800, OpenGL

March 24, 2011 by hgpu

fastHOG – a real-time GPU implementation of HOG

Victor A. Prisacariu, Ian Reid

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Tags: Algorithms, Computer vision, CUDA, Image processing, nVidia, nVidia GeForce GTX 285, Package

March 22, 2011 by hgpu

Brian2 Atlas

A Unified Intermediate Representation and Execution Architecture for Heterogeneous and Distributed Neural Simulation

AgentGarten: Code Worlds for Evolving Agents

KernelLens: Automated Triton-to-C++ Compiler for Enterprise Inference Runtimes

KernelLens: Deploying Triton Kernels to C++ Inference Engines

KernelZero: Co-Evolving Proposer and Coder for Continuously Improved GPU Kernel Generation

Introduction to Computer Vision

ACT: Accelerator Compiler Toolkit

Automatically Generating ML Compiler Backends from Tensor Accelerator ISA Descriptions

pytest-gpu-proof: A Simple Pytest Extension for Local GPU Code Testing

pytest-gpu-proof: Enabling Cloud-CPU Continuous Integration for GPU Code with Local GPU Attestation

Accelerating the Mitigation of LLM Inference Nondeterminism Across GPU Architectures

AutoTuneBench: Trustworthy Measurement for Agent Auto-Tuning of LLM Serving Engines

nvsass-disassembler

Automated Instruction Encoding Synthesis for Modern GPU ISA Compression

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high performance computing on graphics processing units: hgpu.org

Realtime affine-photometric KLT feature tracker on GPU in CUDA framework

GPU Acceleration of Real-time Feature Based Algorithms

A GPU Based 3D Object Retrieval Approach Using Spatial Shape Information

Real-time 3D reconstruction and pose estimation for human motion analysis

Performance of Optical Flow Techniques on Graphics Hardware

Efficient design and implementation of visual computing algorithms on the GPU

Hardware-Efficient Belief Propagation

GPU-Accelerated KLT Tracking with Monte-Carlo-Based Feature Reselection

Real-time 3-D object recognition using scale invariant feature transform and stereo vision

A simple and efficient way to compute depth maps for multi-view videos

Implementation of Kernel Methods on the GPU

fastHOG – a real-time GPU implementation of HOG

Recent source codes

Brian2 Atlas

AgentGarten: Code Worlds for Evolving Agents

KernelLens: Automated Triton-to-C++ Compiler for Enterprise Inference Runtimes

KernelZero: Co-Evolving Proposer and Coder for Continuously Improved GPU Kernel Generation

Introduction to Computer Vision

ACT: Accelerator Compiler Toolkit

pytest-gpu-proof: A Simple Pytest Extension for Local GPU Code Testing

Accelerating the Mitigation of LLM Inference Nondeterminism Across GPU Architectures

AutoTuneBench: Trustworthy Measurement for Agent Auto-Tuning of LLM Serving Engines

nvsass-disassembler

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