Video stream motion vector calculation method

Abstract

The invention discloses an effective stream motion vector calculation method. The method is used for carrying out calculation on stream motion vectors by using two-frame images of a video stream, and aims to obtain the two-dimensional vector of a continuous stream motion. The method comprises the following steps: firstly, counting a histogram of an area at which each pixel is located, and by using a main component matching method for area histograms, completing the initialization on motion vectors; then, carrying out denoising processing on preliminary calculation results by using a multi-resolution sampling method; carrying out smoothing processing on the motion vector of a local module by using a statistical analysis method; and finally, carrying out further optimization on the motion vector so as to obtain a stream motion vector keeping the appearance consistency and the motion continuity. The method disclosed by the invention can be effectively applied to the three-dimensional reconstruction applications of stream, has a characteristic of practical applicability, and can solve the reconstruction problem of stream well; meanwhile, the method also can be further applied to the applications of virtual scene building, thereby solving the complexity problem of vision-based stream reconstruction.

Description

technical field [0001] The invention relates to a calculation method of a video fluid motion vector, which uses the continuity of fluid motion to optimize, so that the calculation result of the fluid motion vector is more in line with the fluid motion law. Background technique [0002] Fluid motion vector calculation is the basis of augmented reality technology research. At present, in the physical simulation of fluids, the identification of dynamic texture regions has not been fully combined with the simulation based on physical attributes, and real-time reconstruction of fluids; Fluid modeling and simulation with the same realistic sense of video media, and less consideration of the interaction between natural scenes and other scenes and environments. The root cause of these problems is that the calculation of fluid motion vectors has not been resolved. Therefore, how to calculate a more accurate motion vector from fluid video is the key to the research on reconstruction a...

AI Technical Summary

Problems solved by technology

This method can achieve very satisfactory experimental results for relatively sparse fluid particles, but for a large number of particle movements with complex physical laws, the calculation accuracy will be affected

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