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OpenHPE

A hand pose estimator using model fitting by finding minimal energy, using OpenCV and tnc.c library.

Install / Use

/learn @royshil/OpenHPE
About this skill

Quality Score

0/100

Supported Platforms

Universal

README

OpenHPE is an open source Hand Pose Estimator using OpenCV, tnc.c, libfreenect. It is developed in the Fluid Interfaces group of the MIT Media Lab.

initial results:

  1. http://www.youtube.com/watch?v=uETHJQhK144
  2. http://www.youtube.com/watch?v=PO1KPdiG2us

(Vauge) Build instructions

  • Create a project in your favorite DevEnv (MSVS2008/2010, XCode, CodeBlocks, Eclipse, a Makefile ?!)
  • Add all these .c,.cpp,.h files into the project
  • Add OpenCV and libfreenect include directories and library directories
  • Build & Run

Concrete Build instructions

  • run cmake ., make sure CMake knows which build system you want (Unix Makefile, XCode, MSVS, etc), and OpenCV libraries are well defined
  • run make / build in your IDE

This is not for complete beginners, but a beginners will benefit a lot from trying to build and tinker around. Please do so.

Walkthrough of the code: http://www.morethantechnical.com/2010/12/28/hand-gesture-recognition-via-model-fitting-in-energy-minimization-wopencv/

View on GitHub
GitHub Stars42
CategoryDevelopment
Updated2y ago
Forks18

Languages

C

Security Score

60/100

Audited on Jul 25, 2023

No findings