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Updated: Jul 7, 2026
05:05
Four-Dimensional CT Analysis Using Sequential 3D-3D Registration
Published on: November 23, 2019
Jointly registering images in domain and range by piecewise linear comparametric analysis
1Dept. of Electr. and Comput. Eng., Florida Int. Univ., Miami, FL 33174, USA. frank.candocia@fiu.edu
Summary
This study introduces a new method for joint image registration using comparametric analysis. It accurately estimates exposure differences, enabling precise alignment of images captured by versatile cameras.
Area of Science:
- Computer Vision
- Image Processing
- Photogrammetry
Background:
- Image registration is crucial for comparing and analyzing image pairs.
- Nonlinearities in camera functions, such as exposure variations, complicate accurate registration.
- Existing methods often struggle with joint domain and range registration.
Purpose of the Study:
- To develop a novel approach for jointly registering image pairs in both spatial (domain) and pixel value (range) domains.
- To address the challenge of nonlinear camera comparametric functions in image registration.
- To enable accurate registration of images from cameras with automatic exposure and multi-axis movement.
Main Methods:
- Approximating nonlinear camera comparametric functions with constrained piecewise linear functions.
- Utilizing optimal fitting of this approximation to comparagram data.
- Employing a re-parameterized comparametric function to estimate image exposure differences.
- Applying a least squares formalism for computationally efficient joint domain and range registration.
Main Results:
- Successfully demonstrated joint domain and range registration of image pairs.
- Showcased effective range-only registration.
- Validated the method's performance on images from cameras with automatic exposure, tilt, pan, rotation, and zoom capabilities.
Conclusions:
- The proposed comparametric analysis approach provides an effective solution for joint image registration.
- The method simplifies a complex nonlinear problem into a computationally tractable least squares estimation.
- This technique enhances the accuracy and applicability of image registration for advanced camera systems.
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