Gradient-based approach for fine registration of panorama images

Journal of Computer Science and Technology

Volumn 19, Issue 5, 2004, Pages 691-697

  Chen, Hui ^a  

^a SHANDONG UNIVERSITY   (China)

Author keywords

Computer vision; Image registration; Motion estimation; Optical flow

Indexed keywords

CAMERAS; COMPUTER VISION; CONSTRAINT THEORY; GRADIENT METHODS; MATHEMATICAL MODELS; MATRIX ALGEBRA; MOTION ESTIMATION; OPTICAL FLOWS; SIGNAL FILTERING AND PREDICTION; VECTORS;

GAUSSIAN FILTERS; IMAGE REGISTRATION;

IMAGE ANALYSIS;

EID: 4744338191     PISSN: 10009000     EISSN: None     Source Type: Journal    
DOI: 10.1007/BF02945596     Document Type: Article

References (11)

1. Brown M Z, Burscka D, Hager G D. Advances in computational stereo. In IEEE Trans. Pattern Analysis and Machine Intelligence, 2003, 25(8): 993-1008.
2. Horn B K P, Schunck B G. Determine optical flow. Artificial Intelligence, 1981, 17: 185-203.
3. Verri A, Poggio T. Motion field and optical flow: Qualitative properties. IEEE Trans. Pattern Analysis and Machine Intelligence, 1989, 11(5): 490-498.
4. Aubert G, Deriche R, Kornprobst P. Computing optical flow via variational techniques. SIAM Journal on Applied Mathematics, 1999, 60(1): 156-182.
5. Barron J L, Fleet D J, Beauchemin S S. Sytems and experiment, performance of optical flow techniques. International Journal of Computer Vision, 1994, 12(1): 43-77.
6. Sawhney H S, Kumar R. True multi-image alignment and its application to mosaicking and lens distortion correction. IEEE Trans. Pattern Analysis and Machine Intelligence, 1999, 21(3): 225-243.
7. Irani M, Anandan P, Hsu S. Mosaic based representations of video sequences and their applications. In Fifth International Conference on Computer Vision (ICCV'95), Cambridge, Massachusetts, 1995, pp.605-611.
8. Bergen J R, Anandan P, Hanna K J, Hingorani R. Hierarchical model-based motion estimation. In Proc. European Conference on Computer Vision, Santa Margarita Ligure, 1992, pp.237-252.
9. Szeliski R, Shum H-Y. Creating full view panoramic image mosaics and environment maps. Computer Graphics (SIGGRAPH'97), 1997, pp.251-258.
10. Alvarez L, Weichert J, Sanchez J. Reliable estimation of dense optical flow fields with large displacements. International Journal of Computer Vision, 2000, 39(1): 41-56.
11. Nagel H H, Enkelmann W. An investigation of smoothness constraints for the estimation of displacement vector fields from image sequences. IEEE Trans. Pattern Analysis and Machine Intelligence, 1986, 8(5): 565-593.