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3D model renderer based on VTK for batch redering on ShapeNet models with texture

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bupt-cv/model-render

 
 

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Model rendering and annotation tools

This is a code pool of Yida Wang, master student of Dr. Weihong Deng. Those codes are used for model rendering from 3D models to 2D synthetic images together with some specific annotation and contour generation. It's basically written in c++, but there are also some basic scripts for API.

Compiling is based on cmake and make, it's designed for Linux, MacOS and Unix.

Author info

Basic info

Yida Wang

Professional Email Address: yidawang.cn@gmail.com

Publications

ZigzagNet: Efficient Deep Learning for Real Object Recognition Based on 3D Models

Self-restraint Object Recognition by Model Based CNN Learning

Face Recognition Using Local PCA Filters

CNTK on Mac: 2D Object Restoration and Recognition Based on 3D Model

Large-Scale 3D Shape Retrieval from ShapeNet Core55

Extracurriculars

Contributor for OpenCV and tiny-dnn;

Google Summer of Codes successor from 2015 to 2016

Personal Links

ResearchGate

Github

GSoC 2016

GSoC 2015

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3D model renderer based on VTK for batch redering on ShapeNet models with texture

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  • C++ 62.8%
  • MATLAB 17.1%
  • Shell 11.3%
  • Python 7.3%
  • CMake 1.5%