Three dimensional computer vision: Potential applications with curvature tracking
- Cornell Univ., Ithaca, NY (United States)
The purpose of this project is to develop a method of tracking data points for computer vision systems using curvature analysis. This is of particular importance to fellow researchers at the Lab, who have developed a markerless video computer vision system and are in need of such a method to track data points. A three dimensional viewing program was created to analyze the geometry of surface patches. Virtual surfaces were plotted and processed by the program to determine the Mean and Gaussian Curvature parameters for each point on the surface, thus defining each point`s surface geometry type. The same computer processes are then applied to each frame of data acquired by the computer vision system to find surface {open_quotes}landmarks{close_quotes} that hold constant curvature during motion. Preliminary results indicate that curvature analysis shows great promise and could solve the tracking dilemma faced by those in the field of markerless imaging systems.
- Research Organization:
- Lawrence Livermore National Lab., CA (United States)
- Sponsoring Organization:
- USDOE
- DOE Contract Number:
- W-7405-ENG-48
- OSTI ID:
- 576763
- Report Number(s):
- UCRL-ID--114972-5; ON: DE97009099
- Country of Publication:
- United States
- Language:
- English
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