This article describes a complete motion capture solution. The problems of quaternion, rotation of quaternion and coordinate matching are described in detail. This system solves the shackles of wired transmission in the past by wireless transmission, which greatly simplifies the use of the system. In this study, the data collected by the chip is converted into a quaternion, which effectively solves the problem of the universal lock. The data is smoothed by adaptive linear interpolation, and then the final values are coordinate-matched, resulting in a simple operation and accurate motion capture scheme.
When dealing with high-resolution digital images, detection of feature points is usually the very first important step. Valid feature points depend on the threshold. If the threshold is too low, plenty of feature points will be detected, and they may be aggregated in the rich texture regions, which consequently not only affects the speed of feature description, but also aggravates the burden of following processing; if the threshold is set high, the feature points in poor texture area will lack. To solve these problems, this paper proposes a threshold auto-adjustment method of feature extraction based on grid. By dividing the image into numbers of grid, threshold is set in every local grid for extracting the feature points. When the number of feature points does not meet the threshold requirement, the threshold will be adjusted automatically to change the final number of feature points The experimental results show that feature points produced by our method is more uniform and representative, which avoids the aggregation of feature points and greatly reduces the complexity of following work.