Structure and motion from optical flow under perspective projection
Computer Vision, Graphics, and Image Processing
Optical Flow Estimation: An Error Analysis of Gradient-Based Methods with Local Optimization
IEEE Transactions on Pattern Analysis and Machine Intelligence
Performance of optical flow techniques
International Journal of Computer Vision
The robust estimation of multiple motions: parametric and piecewise-smooth flow fields
Computer Vision and Image Understanding
IEEE Transactions on Pattern Analysis and Machine Intelligence
Accuracy vs efficiency trade-offs in optical flow algorithms
Computer Vision and Image Understanding
Multiple view geometry in computer visiond
Multiple view geometry in computer visiond
Measurement of Visual Motion
What can be seen in three dimensions with an uncalibrated stereo rig
ECCV '92 Proceedings of the Second European Conference on Computer Vision
Hierarchical Model-Based Motion Estimation
ECCV '92 Proceedings of the Second European Conference on Computer Vision
Quantitative Color Optical Flow
ICPR '02 Proceedings of the 16 th International Conference on Pattern Recognition (ICPR'02) Volume 4 - Volume 4
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Color-image optical flow processing may offer little merit in terrestrial imagery, mainly due to high correlation among the color channels. However, spectral-dependent environmental factors reduce the degree of correlation in underwater imagery, enriching visual motion cues. Additionally, use of multiple motion constraints can increase estimation robustness and noise immunity, which is significant for overcoming higher underwater image noise from various sources. Despite high variability in the conditions of various bodies of water, a simplified image model allows us to draw general conclusions on the computation of visual motion from color channels, based on average common medium characteristics. In particular, the model offers insight into: (1) information encoded in various color channels; (2) advantages in the use of a certain color representation over others; (3) consistency between conclusions from the theoretical study and from experiments with data sets recoded in various types of ocean waters and locations. The study concludes that optical flow computation based on the HSV representation typically provides more improved localization and motion estimation precision relative to other color presentations. Results of various experiments with underwater data are given to assess the accuracy.