… 3], HOF(histograms of oriented optical flow)[4] ,ESURF (efficient speed up robust features)[5],…
The optical flow detection method of moving target using deep convolution neural network[J]…

… results show that the proposed network can not only get high compression ratio but also
present promising results,such as high reconstruction quality,fast learning and robustness,as …

… most accurate and efficient computational solutions to electromagnetic designs. It comprises
CST’s tools for the 3D EM design and optimization of static to optical frequency applications,…

The microstructures of materials determine their macroscopic properties. The traditional
bottom-up multi-scale approach provides a general strategy for studying the relationship …

… , it can ensure better stitching accuracy and imaging effect, and has strong robustness. …
Meanwhile, it can ensure better stitching accuracy and imaging effect, and has strong robustness. …

… Robust multiresolution alignment of MRI brain volumes[J]. … Discrete wavelet analysis for
fast optic flow computation. … Robust computation of optical flow in a multi-scale differential …

… (EPE)and the Fl scores in comparison with other related optical flow computations. Moreover,to
evaluate the robustness of optical flow with respect to variations of illumination using the …

… optical flow algorithm by imposing constraints on some given point correspondences to
compute … system is proposed, which can be robust against facial expressions with a limited size …

… traditional optical flow algorithm is a time-consuming computation. … ) and optical flow. The
motion sub-region is detected by the … the effectiveness and robustness of the proposed method. …

… multi-grid based optical flow hierarchy strategy was presented … , in turn, accelerated the
optical flow computation. The finer grid … texture decomposition is robust against the variation in …