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GPU-accelerated high-resolution image stitching with better initial guess
- Source :
- ICCE
- Publication Year :
- 2018
- Publisher :
- IEEE, 2018.
-
Abstract
- High-resolution image processing is crucial for emerging applications in virtual reality. The trade-off between robustness/accuracy and speed pose a challenge to high-resolution image stitching. This paper accelerates the state-of-the-art image stitching algorithm by using the CUDA toolkit. We also use the mesh coordinates as an initial guess for solving warping function for an additional increase in speed. Experimental results show that our implementation achieves comparable quality to the state-of-the-art work, while our implementation is almost 2x faster on high-resolution images (3264×2448).
- Subjects :
- Computer science
business.industry
010401 analytical chemistry
Feature extraction
ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION
020207 software engineering
Image processing
02 engineering and technology
Virtual reality
01 natural sciences
0104 chemical sciences
Image stitching
CUDA
High resolution image
0202 electrical engineering, electronic engineering, information engineering
Computer vision
Artificial intelligence
business
Image resolution
Subjects
Details
- Database :
- OpenAIRE
- Journal :
- 2018 IEEE International Conference on Consumer Electronics (ICCE)
- Accession number :
- edsair.doi...........0d1e5c5250c36e216f1c0efac0181905