_how-to-use-plasticity-3d-xnurbs-a-step-by-step-tutorial-part-2-preview-1.jpg "How to Use Plasticity 3d xNurbs: A Step-by-Step Tutorial part 2 from opencv threshold Video Screenshot Preview 1")
Gallery_how-to-use-plasticity-3d-xnurbs-a-step-by-step-tutorial-part-2-preview-3.jpg "How to Use Plasticity 3d xNurbs: A Step-by-Step Tutorial part 2 from opencv threshold Video Screenshot Preview 3")
Gallery_how-to-use-plasticity-3d-xnurbs-a-step-by-step-tutorial-part-2-preview-hqdefault.jpg "How to Use Plasticity 3d xNurbs: A Step-by-Step Tutorial part 2 from opencv threshold Video Screenshot Preview hqdefault")
GalleryPlay Video:
(Note: The default playback of the video is HD VERSION. If your browser is buffering the video slowly, please play the REGULAR MP4 VERSION or Open The Video below for better experience. Thank you!)
Jump To Video Parts
⏲ Duration: 2 minutes 38 seconds
👁 View: 56 times
Play Audio:👁 View: 56 times
Description:
PolyPaul
PolyPaul
Share with your friends:
Whatsapp | Viber | Telegram | Line | SMS
Email | Twitter | Reddit | Tumblr | Pinterest
Related Videos
_real-time-defect-identification-of-products-on-a-conveyor-belt.webp "Pysource")
_hsv-color-range-thresholding-opencv-object-detection-in-games-6.webp "Learn Code By Gaming")
_opencv-blob-tracking-calibrated.webp "Video tracking of complex blob shapes, threshold calibrated on a contrasting background.Processing sketch illustrating simple tracking method."){kind=tracking}
_thresholding-with-match-template-opencv-object-detection-in-games-2.webp "Learn Code By Gaming")
⏲ 14 minutes 4 seconds 👁 41.1K
_interactive-fish-pond.webp "This is an interactive aquarium that runs directly in the browser. It uses Processing.js for drawing graphics over an HTML5 canvas. Users interact with it by touching close to the proyected image on the wall, creating water ripples that attract the fish at the location where the disturbance was made.nnAt server side, a Kinect device sensor managed by GFreenect tracks actions ocurring at a certain threshold close to the wall, and determines the contact point using OpenCV. This point is then sent")
_opencv-python-neural-network-autonomous-rc-car.webp "Z Wang")
_make-images-readable-again-in-python.webp "NeuralNine")
_kinect-centroid-calc-motion-tracking-with-qc-z-cam.webp "In this video I'm demo-ing the kinect and testing a concept for tracking. nnThis uses a core image filter to threshold out objects depending on nearness to the kinect. Then, a clever version of a centroid calculation routine by smokris and jstrecker of kineme (http://kineme.net) that was adapted from GPU Gems (http://http.developer.nvidia.com/GPUGems3/gpugems3_ch26.html ) is used to place the sphere object in x/y translation. nI've added to this routine to make the object of interest disappear f"){kind=tracking}
_real-time-defect-identification-of-products-on-a-conveyor-belt.jpg)
_hsv-color-range-thresholding-opencv-object-detection-in-games-6.jpg)
_opencv-blob-tracking-calibrated.jpg){kind=tracking}
_thresholding-with-match-template-opencv-object-detection-in-games-2.jpg)
_interactive-fish-pond.jpg)
_opencv-python-neural-network-autonomous-rc-car.jpg)
_make-images-readable-again-in-python.jpg)
_kinect-centroid-calc-motion-tracking-with-qc-z-cam.jpg){kind=tracking}
![[+]](/images/menu.gif){kind=small}