Computer Vision, Graphics, and Image Processing
Exploiting reflectance properties to analyze images of moving objects needs local constraints
Computer Vision, Graphics, and Image Processing
IEEE Transactions on Pattern Analysis and Machine Intelligence
Measurement of Visual Motion
Robot Vision
Motion Field and Optical Flow: Qualitative Properties
Motion Field and Optical Flow: Qualitative Properties
The computation of optical flow
ACM Computing Surveys (CSUR)
IEEE Transactions on Pattern Analysis and Machine Intelligence
Computing Optical Flow with Physical Models of Brightness Variation
IEEE Transactions on Pattern Analysis and Machine Intelligence
Reliable Estimates of the Sea Surface Heat Flux from Image Sequences
Proceedings of the 23rd DAGM-Symposium on Pattern Recognition
High-speed target tracking by fuzzy hostility-induced segmentation of optical flow field
Applied Soft Computing
Analytical results on error sensitivity of motion estimation from two views
Image and Vision Computing
Robust motion estimation under varying illumination
Image and Vision Computing
Optical flow estimation on omnidirectional images: an adapted phase based method
ICISP'12 Proceedings of the 5th international conference on Image and Signal Processing
| Hi-index | 0.14 |
The commonly used constraint equation Delta g/sup T/u+g/sub t/=0 for the estimation of optical flow can only be justified by assumptions that are, in general, far too restrictive for image sequences of real world scenes. B.G. Schunck (1985, 86) recently argued that a constraint equation for the estimation of what he called image flow has to include a term containing the divergence of this image flow without presenting, however, a stringent derivation based on perspective projection from 3-D scene space. The present author derives a constraint equation based on a combination of perspective projection and notions from differential geometry. In addition, he demonstrates the quantitive effects of taking into account radiometric considerations based on the use of Lambertian reflection properties and isotropic illumination in scene space.