- 著者
- Nitin SINGHAL Jin Woo YOO Ho Yeol CHOI In Kyu PARK
- 出版者
- 一般社団法人 電子情報通信学会
- 雑誌
- IEICE Transactions on Information and Systems (ISSN:09168532)
- 巻号頁・発行日
- vol.E95.D, no.5, pp.1475-1484, 2012-05-01 (Released:2012-05-01)
- 参考文献数
- 18
- 被引用文献数
- 6 13
In this paper, we analyze the key factors underlying the implementation, evaluation, and optimization of image processing and computer vision algorithms on embedded GPU using OpenGL ES 2.0 shader model. First, we present the characteristics of the embedded GPU and its inherent advantage when compared to embedded CPU. Additionally, we propose techniques to achieve increased performance with optimized shader design. To show the effectiveness of the proposed techniques, we employ cartoon-style non-photorealistic rendering (NPR), speeded-up robust feature (SURF) detection, and stereo matching as our example algorithms. Performance is evaluated in terms of the execution time and speed-up achieved in comparison with the implementation on embedded CPU.