5 July 1995 Multiple camera data fusion for accurate pose and scale recovery
Author Affiliations +
This paper concerns the use of multiple cameras for accurate and noise-robust recovery of pose and scale parameters. Of particular interest is the recovery of pose and scale of vehicles in traffic scenes which, under normal conditions, are constrained to lie on the ground-plane. Several closed-form algorithms are described. The algorithms directly exploit the ground- plane constraint, and are applicable to an arbitrary number of image-to-model line matches. The importance of using multiple cameras is illustrated and the fusion of data from multiple cameras is shown to be simple and straightforward. The algorithms are tested extensively with both synthetic and real outdoor traffic images. They are found to be robust and perform satisfactorily with real images.
© (1995) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Tieniu Tan, "Multiple camera data fusion for accurate pose and scale recovery", Proc. SPIE 2484, Signal Processing, Sensor Fusion, and Target Recognition IV, (5 July 1995); doi: 10.1117/12.213062; https://doi.org/10.1117/12.213062


Data fusion

3D modeling

Image fusion

Monte Carlo methods

Image segmentation

3D image processing


Back to Top