This job ad has been posted over 90 days ago...
Image Algorithm Researcher (SFM Direction)
at 4DAGE Intelligence Technology Co.,Ltd in Zhuhai, Guangdong Province, China
【Job Responsibilities】
1. Responsible for image-based 3D reconstruction algorithm development and optimization
2. Responsible for developing new functions based on existing 3D reconstruction algorithms
【Job Requirements】
1. Master of Arts in Pattern Recognition/Communication/Computer/Automation/Mathematics or above
2. Proficiency in C / C ++ and MATLAB, Python has strong code implementation capabilities
3. Skilled use of OpenCV / OpenGL / PCL and other graphic image open source libraries
4. Experience in programming in Linux and Windows system environments
5. Have good learning ability, be proficient in reading English literature, and implement related algorithms
according to the literature.
6. Proficiency in common data structures and algorithms, ability to analyze and optimize computational
logic, improve performance
【Bonus Point】
1. Has done feature point extraction and matching, based on image 3D reconstruction (SFM) related
projects
1. Responsible for image-based 3D reconstruction algorithm development and optimization
2. Responsible for developing new functions based on existing 3D reconstruction algorithms
【Job Requirements】
1. Master of Arts in Pattern Recognition/Communication/Computer/Automation/Mathematics or above
2. Proficiency in C / C ++ and MATLAB, Python has strong code implementation capabilities
3. Skilled use of OpenCV / OpenGL / PCL and other graphic image open source libraries
4. Experience in programming in Linux and Windows system environments
5. Have good learning ability, be proficient in reading English literature, and implement related algorithms
according to the literature.
6. Proficiency in common data structures and algorithms, ability to analyze and optimize computational
logic, improve performance
【Bonus Point】
1. Has done feature point extraction and matching, based on image 3D reconstruction (SFM) related
projects
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Published at 04-Jan-2019
Viewed: 4889 times
Viewed: 4889 times