Automatic model-based 3D object recognition by combining feature matching with tracking

Author:

Kim Sungho,Kweon In So

Publisher

Springer Science and Business Media LLC

Subject

Computer Science Applications,Computer Vision and Pattern Recognition,Hardware and Architecture,Software

Reference12 articles.

1. Schmid, C., Mohr, R.: Local grayvalue invariants for image retrieval. IEEE Pattern Anal. Mach. Intell. 19(5), 872–877 (1998a)

2. Lowe, D.: Distinctive image features from scale-invariant keypoints. IEEE Trans. Pattern Anal. Mach. Intell. 60(2), 91–110 (2004)

3. Ohba, K., Ikeuchi, K.: Detectability, uniqueness, and reliability of eigen-windows for robust recognition of partially occluded objects. IEEE Pattern Anal. Mach. Intell. 19(9), 1043–1048 (1997)

4. Kim, S., Kim, I., Kweon, I.: Probabilistic model-based object recognition using local Zernike moments. In: IAPR Workshop on Machine Vision Applications, pp. 334–337. Nara, Japan (2002)

5. Schmid, C., Mohr, R., Bauckhage, C.: Comparing and evaluating interest points. In: International Conference on Computer Vision, pp. 230–235. Bombay, India (1998b)

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