Particle filtering | Page 2

hgpu.org » Particle filtering

Cue-independent extending inverse kinematics for robust pose estimation in 3D point clouds

Nicolas H. Lehment, Moritz Kaiser, Dejan Arsic, Gerhard Rigoll

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Tags: Computer science, Computer vision, nVidia, nVidia GeForce GTX 275, Particle filtering, Video tracking

July 20, 2011 by hgpu

Fast, Processor-Cardinality Agnostic PRNG with a Tracking Application

Andrew Janowczyk, Sharat Chandran, Srinivas Aluru

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Tags: Algorithms, Computer science, CUDA, nVidia, nVidia GeForce 8800 GTS, Particle filtering, Pseudo-random number generators

June 7, 2011 by hgpu

Parallel particle filter algorithm in face tracking

Ke-Yan Liu, Liang Tang, Shan-Qing Li, Lei Wang, Wei Liu

Tags: Algorithms, Computer science, Particle filtering, Video tracking

June 1, 2011 by hgpu

A Framework for 3D Model-Based Visual Tracking Using a GPU-Accelerated Particle Filter

J. Brown, D. Capson

Tags: Computer science, CUDA, DirectX, nVidia, Particle filtering, Real-time graphics, Rendering, Video tracking

May 24, 2011 by hgpu

Automated pose estimation in 3D point clouds applying annealing particle filters and inverse kinematics on a GPU

N.H. Lehment, D. Arsic, M. Kaiser, G. Rigoll

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Tags: Computer science, Computer vision, CUDA, nVidia, nVidia GeForce GTX 275, Particle filtering

May 15, 2011 by hgpu

High performance memetic algorithm particle filter for multiple object tracking on modern GPUs

Raul Cabido, Antonio Montemayor, Juan Pantrigo

Tags: Algorithms, Computer science, Computer vision, CUDA, nVidia, Particle filtering, Video tracking

May 11, 2011 by hgpu

Efficient parallelized particle filter design on CUDA

Min-An Chao, Chun-Yuan Chu, Chih-Hao Chao, An-Yeu Wu

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Tags: CUDA, nVidia, nVidia GeForce 9400 M, Particle filtering, Signal processing

April 13, 2011 by hgpu

Real-time particle filtering with heuristics for 3D motion capture by monocular vision

D.A.G. Jauregui, P. Horain, M.K. Rajagopal, S.S.K. Karri

Tags: Computer science, OpenCL, Particle filtering, Video tracking

April 2, 2011 by hgpu

Simultaneous and fast 3D tracking of multiple faces in video by GPU-based stream processing

Oscar Mateo Lozano, Kazuhiro Otsuka

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Tags: CUDA, Image processing, nVidia, nVidia GeForce 8800 GTX, Particle filtering, Video tracking

January 20, 2011 by hgpu

Real-time Visual Tracker by Stream Processing

Oscar Mateo Lozano, Kazuhiro Otsuka

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Tags: CMP, Computer science, CUDA, nVidia, nVidia GeForce 8800 GTX, Particle filtering, Video tracking

November 3, 2010 by hgpu

SimSYCL: Synchronous, single-threaded, library-only SYCL implementation for debugging and verification

SimSYCL: A SYCL Implementation Targeting Development, Debugging, Simulation and Conformance

gpu_tracker: Context manager and CLI that tracks the computational-resource-usage of a code block or shell command, particularly the GPU usage

gpu_tracker: Python package for tracking and profiling GPU utilization in both desktop and high-performance computing environments

CIFAR-10 Airbench: 94% on CIFAR-10 in 3.29 second

94% on CIFAR-10 in 3.29 Seconds on a Single GPU

LOOPer: a polyhedral compiler for expressing fast and portable data parallel algorithms

LOOPer: A Learned Automatic Code Optimizer For Polyhedral Compilers

OpenMC Monte Carlo Code

Performance Portable Monte Carlo Particle Transport on Intel, NVIDIA, and AMD GPUs

Polygeist: C/C++ frontend for MLIR

Retargeting and Respecializing GPU Workloads for Performance Portability

Parallel Gaussian process with kernel approximation in CUDA

See all packages

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high performance computing on graphics processing units: hgpu.org

Cue-independent extending inverse kinematics for robust pose estimation in 3D point clouds

Fast, Processor-Cardinality Agnostic PRNG with a Tracking Application

Parallel particle filter algorithm in face tracking

A Framework for 3D Model-Based Visual Tracking Using a GPU-Accelerated Particle Filter

Automated pose estimation in 3D point clouds applying annealing particle filters and inverse kinematics on a GPU

High performance memetic algorithm particle filter for multiple object tracking on modern GPUs

Efficient parallelized particle filter design on CUDA

Real-time particle filtering with heuristics for 3D motion capture by monocular vision

Simultaneous and fast 3D tracking of multiple faces in video by GPU-based stream processing

Real-time Visual Tracker by Stream Processing

Recent source codes

SimSYCL: Synchronous, single-threaded, library-only SYCL implementation for debugging and verification

GPU plugin for PySCF

QArray

Celerity: High-level C++ for Accelerator Clusters

gpu_tracker: Context manager and CLI that tracks the computational-resource-usage of a code block or shell command, particularly the GPU usage

CIFAR-10 Airbench: 94% on CIFAR-10 in 3.29 second

LOOPer: a polyhedral compiler for expressing fast and portable data parallel algorithms

OpenMC Monte Carlo Code

Polygeist: C/C++ frontend for MLIR

Parallel Gaussian process with kernel approximation in CUDA

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