10 February 2006 Digital photograph stitching with optimized matching of gradient and curvature
Author Affiliations +
Abstract
Digital photograph stitching blends multiple images to form a single one with a wide field of view. Sometimes, artifacts may arise, often due to photometric inconsistency and geometric misalignment among the images. Several existing techniques tackle this problem by methods such as pixel selection or pixel blending, which involve the matching of intensity, frequency, and gradient among the input images and adjust them to find the optimal match with the input images. However, our experience indicates that these methods have yet fully incorporated the mathematical properties of the photometric inconsistency. In this paper, we first introduce a general mathematical model describing the properties and effects of the photometric inconsistency. This model supports our claim that matching on the intensity and even the gradient domain is insufficient. Our method thus adds the extra requirement of an optimal matching of curvature. Simulations are carried out using our method, with input images suffering from different kinds of photometric inconsistency under the aligned and misaligned situations. We evaluate the results using both objective and subjective criteria, and we find that our method indeed shows an improvement for certain kinds of photometric inconsistency.
© (2006) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Simon T. Y. Suen, Edmund Y. Lam, Kenneth K. Y. Wong, "Digital photograph stitching with optimized matching of gradient and curvature", Proc. SPIE 6069, Digital Photography II, 60690G (10 February 2006); doi: 10.1117/12.640261; https://doi.org/10.1117/12.640261
PROCEEDINGS
12 PAGES


SHARE
RELATED CONTENT

A robotic system for digital photography
Proceedings of SPIE (February 10 2006)
Photo-collection representation based on viewpoint clustering
Proceedings of SPIE (November 28 2007)
Automatic white balance method for cellular phone
Proceedings of SPIE (January 18 2010)
Limiting liability via high-resolution image processing
Proceedings of SPIE (January 21 1997)

Back to Top