Computer Vision and Image Recognition algorithms for R users
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Updated
Jul 3, 2024 - C++
Computer Vision and Image Recognition algorithms for R users
Webapplication for image stitching and aligning
SURF - Speeded Up Robust Features - source code
My works for EE 569 - Digital Image Processing - Spring 2018 - Graduate Coursework at USC - Dr. C.-C. Jay Kuo
Graduate Coursework for EE569 (Digital Image Processing) at USC.
Highly optimized implementation of the SURF feature detector/descriptor algorithm with improved cache locality, SIMD and autotuning.
Implemented image stitching based on SURF features in OpenCV.
Fast-bag-of-words ROS wrapper for feature-based place detection and relocalization.
Parallel OpenCL based object_detection_demo_app
Coursework for EE569 (Digital Image Processing) at USC for the Spring 2021 Semester
Structure from Motion - 3D Reconstruction
Sketch and client program of hit detection device for surf casting using M5StickC (Arduino)
C++ 2023 Class Final Work using Qt and C++, and the idea comes from Microsoft Edge
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