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Updated: Jul 7, 2026
11:34
High-resolution, High-speed, Three-dimensional Video Imaging with Digital Fringe Projection Techniques
Published on: December 3, 2013
Point fingerprint: a new 3-D object representation scheme
Yiyong Sun1, Joonki Paik, A Koschan
1Dept. of Electr. & Comput. Eng., Univ. of Tennessee, Knoxville, TN, USA.
Summary
This study introduces point fingerprints, a novel 2-D contour representation for efficient surface matching. This method accurately identifies corresponding points on surfaces, improving pose estimation for 3-D data.
Area of Science:
- Computer Vision
- Geometric Modeling
- 3D Reconstruction
Background:
- Surface matching is crucial for 3D data analysis and computer vision tasks.
- Existing methods often face challenges with efficiency and accuracy in representing complex surfaces.
Purpose of the Study:
- To propose an efficient and accurate surface representation method for surface matching.
- To introduce a novel feature carrier, termed 'point fingerprint', for discriminating surface points.
Main Methods:
- Generating a point fingerprint for each surface point using projected geodesic circles on the tangent plane.
- Utilizing the point fingerprint's pattern for matching corresponding points across different views.
- Incorporating curvature, color, and other information into the fingerprint to enhance matching.
Main Results:
- Demonstrated faster matching processes compared to traditional 2-D image comparison.
- Introduced a new candidate point selection method based on fingerprint irregularity.
- Successfully applied the point fingerprint method to pose estimation using real-world range data.
Conclusions:
- The point fingerprint offers an efficient and effective surface representation for matching.
- This method significantly improves accuracy and speed in surface matching and pose estimation tasks.
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