Multiple Constraints to Compute Optical Flow
IEEE Transactions on Pattern Analysis and Machine Intelligence
Sub-Pixel Estimation Error Cancellation on Area-Based Matching
International Journal of Computer Vision
Accuracy evaluation of different centerline approximations of blood vessels
VISSYM'04 Proceedings of the Sixth Joint Eurographics - IEEE TCVG conference on Visualization
Hi-index | 0.00 |
We compare two classes of algorithms for estimating subpixel, rigid-body translation between two images. One class is based on optical flow. Optical flow algorithms determine translations between images from estimates of spatial and temporal derivatives of brightness. The other class is based on block matching. Block matching algorithms determine translations between images by minimizing the difference between shifted (warped) versions of the original images. We show that these two classes of algorithms are equivalent for subpixel displacements. Specifically, we show that all block matching algorithms that use bilinear interpolation can be recast into equivalent optical flow formulations, and that all algorithms based on optical flow using first-order derivative estimators can be recast into equivalent block matching formulations.