Name
Abstract | ||
|---|---|---|
A novel approach for high-speed measurement of surface grid line intersection points across multiple video frames is described. Grids are printed or etched onto otherwise featureless surfaces for applications that include 3-D surface reconstruction, sheet metal surface strain measurement, and others. To achieve the necessary subpixel location accuracy, close-range imaging is used with data collected by a hand-guided digital video camera mounted on a portable articulated arm coordinate measuring machine. Grid extraction is based on ridge detection in a parallelized scale space, implemented with a 480-core graphical processing unit (GPU). The close-range narrow-depth-of-field focus variations within the video sequence are intrinsically handled by the scale space. Ridge linking, filtering, and parabola fitting are used to accurately extract the grid intersection points. While computationally intensive, experimental implementation using the parallel GPU hardware has achieved sustained throughput exceeding 15 frames per second, with more than 100 intersections extracted per frame. Experimental results are presented for both synthetically generated and actual video sequences. |
Year | DOI | Venue |
|---|---|---|
2012 | 10.1109/TIM.2011.2174102 | Instrumentation and Measurement, IEEE Transactions |
Keywords | Field | DocType |
cameras,feature extraction,graphics processing units,image sequences,video signal processing,3D surface reconstruction,480-core graphical processing unit,accurate surface grid intersections measurement,close range video sequences,grid extraction,hand guided digital video camera,high speed measurement,multiple video frames,parabola fitting,parallelized scale space,portable articulated arm coordinate measuring machine,ridge detection,ridge filtering,ridge linking,sheet metal surface strain measurement,subpixel location accuracy,surface grid line intersection points,Compute Unified Device Architecture (CUDA),General Purpose Graphics Processing Unit (GPGPU),grid line intersection measurement,scale space | Coordinate-measuring machine,Computer vision,Computer graphics (images),Line–line intersection,Ridge detection,Computer science,Scale space,Artificial intelligence,Frame rate,Subpixel rendering,Graphics processing unit,Grid | Journal |
Volume | Issue | ISSN |
61 | 4 | 0018-9456 |
Citations | PageRank | References |
1 | 0.36 | 14 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Michael Kinsner | 1 | 83 | 4.85 |
| David W. Capson | 2 | 207 | 29.98 |
| Allan D. Spence | 3 | 13 | 2.99 |