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Intelligent Vision System Research Group | A leader in 3D vision solutions

Developing intelligent vision system to detect, classify, or retrive natural 3D objects under varying imaging conditions and operating environments is one of the most challenging artificial intelligence and computer vision problems having consideratble practical

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Intelligent Vision System Research Group | A leader in 3D vision solutions | ivs.wordpress.fos.auckland.ac.nz Reviews

https://ivs.wordpress.fos.auckland.ac.nz

Developing intelligent vision system to detect, classify, or retrive natural 3D objects under varying imaging conditions and operating environments is one of the most challenging artificial intelligence and computer vision problems having consideratble practical

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Real-time 3D hand tracking for 3D sculpting application – Intelligent Vision System Research Group

http://ivs.wordpress.fos.auckland.ac.nz/2014/07/16/real-time-3d-hand-tracking-for-3d-sculpting-application

Test media post via Media Publishing. Belief Propagation Based Stereo ». Real-time 3D hand tracking for 3D sculpting application. July 16, 2014. Here is a pair of stereo frames taken by the stereo webcam. The green bounding boxes indicate our tracking subject – the yellow ball. The tracking unit produced 3D coordinates by triangulation and sent to Blender via TCP connection to move the yellow cube inside the 3D viewport of Blender. View all posts by Minh Nguyen →. Test media post via Media Publishing.

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Projects – Intelligent Vision System Research Group

http://ivs.wordpress.fos.auckland.ac.nz/projects

Image Processing for Environmental Science: Multi-sensing for Marine Sciences (MUSE). September 7, 2016. MUSE project for Marine Science. Image Processing for Environmental Science: PROTINUS. September 7, 2016. Pore network in the soil. Click here to go to the PROTINUS website. Automatic Lip Tracking: Bayesian Segmentation and Active Contours In A Cooperative Scheme. September 7, 2016. An algorithm for speaker’s lip contour extraction is presented here. A color video sequence. July 16, 2014. We present a...

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Downloads – Intelligent Vision System Research Group

http://ivs.wordpress.fos.auckland.ac.nz/downloads

Access via publication page. Image Processing for Environmental Science: PROTINUS Demo. Image Processing for Environmental Science: Multi-sensing for Marine Sciences (MUSE). Image Processing for Environmental Science: PROTINUS. Automatic Lip Tracking: Bayesian Segmentation and Active Contours In A Cooperative Scheme. Automatic Lip Tracking: Demo. Department of Computer Science. Online Computational Stereo Vision. Intelligent Vision System Research Group.

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IVS Applications – Intelligent Vision System Research Group

http://ivs.wordpress.fos.auckland.ac.nz/ivs-applications

Intelligent Vision System Research Group.

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CUDA SPH – Intelligent Vision System Research Group

http://ivs.wordpress.fos.auckland.ac.nz/2014/07/16/cuda-sph

Belief Propagation Based Stereo. Inferring causality using timelag analysis of BOLD data ». July 16, 2014. Simulating the collision between fluids as solids under gravity. The use of Graphics Processing Units (GPUs)in computationally intensive applications is increasing due to recent frameworks that allow general purpose programming to be done on the specialized hardware of the GPU. This project summarizes the use of a GPU to improve the performance of a Smoothed Particle Hydrodynamics (SPH) program.

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Intelligent Vision System Research Group | A leader in 3D vision solutions

Intelligent Vision System research team. Intelligent Vision System research team. Intelligent Vision System research team. Intelligent Vision System research team. Intelligent Vision System research team. A leader in advanced low cost computational 3D vision solutions. Recent Advances in Online Computational Stereo Vision. Read more ». Belief Propagation Based Stereo. Read more ». The use of Graphics Processing Units (GPUs)in computationally intensive applications is increasing due to recent frameworks t...

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