Grabcut implementation, which is color-based foreground-background segmentation. It's based on my 2011 uni project but rewritten and improved.
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Updated
Jul 18, 2022 - C++
Grabcut implementation, which is color-based foreground-background segmentation. It's based on my 2011 uni project but rewritten and improved.
Algorithm practice exercises using OpenCV
Interactive Foreground Extraction using ROI & GrabCut Algorithm
馬体格分析
A python-based implementation of classic computer vision algorithms.
Image segmentation using classifier
Salient Object Detection to cutout the Object in an image.
This repo records my computer vision practice. There are 4 projects have been archived so far.
Reproduce GrabCut (ref paper: "GrabCut": interactive foreground extraction using iterated graph cuts).
GrabCut is an algorithm which removes the background in an image from a selected part of the image.In the OpenCV sample , the implementation works only for a single image and the area for selecting the foreground is fixed. This program allows you to select an area according to your wish from a video file or a camera feed.
Face detection. Foreground extraction via corners, faces, chroma. Contours and midpoints. 3d skinned mesh with bones. Bindable segments. Export 3d/texture/bone glTF (for 3d-print, etc...).
Practice face detection and tracking in image and video frames, isolating features such as skin or eyes with specialized techniques.
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