2D–3D Non-rigid Registration Using Depth from Gradient Information

Author:

Bala Anu,Kumar Sanjeev,Bhargava Rama

Publisher

Springer Science and Business Media LLC

Subject

Electrical and Electronic Engineering,Software

Reference24 articles.

1. Ashburner, J. (2007). A fast diffeomorphic image registration algorithm. NeuroImage, 38(1), 95–113.

2. Bhargava, R., & Kumar, S. (2012). Implementing nurbs for nonrigid registration of medical images. In: First IEEE Healthcare Technology Conference: Translational Engineering in Health and Medicine, Methodist Hospital Research Institute, Houston.

3. Cachier, P., Pennec, X., & Ayache, N. (1999). Fast Non Rigid Matching by Gradient Descent: Study and Improvements of the “Demons” Algorithm. Technical Report RR-3706.

4. Chow, C. K., & Yuen, S. Y. (2010). A solution to illumination direction estimation of a shaded image: Genetic algorithm. Image and Vision Computing, 28(12), 1717–1730.

5. Choy, C.B., Stark, M., Corbett-Davies, S., & Savarese, S (2015). Enriching object detection with 2D–3D registration and continuous viewpoint estimation. In: Computer Vision and Pattern Recognition (CVPR).

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