High-speed Camera Motion Capture and Essence Extraction Algorithm in the Context of Feature Extraction

High-speed camera motion capture and essence extraction algorithm of regional dance in the context of the intangible cultural heritage feature extraction is designed and implemented in this paper. Painting can be freed from pictorial distractions, but photography only seems to be an image. Traditional photography is based on photochemical processes that are difficult to control. Therefore, since its invention, photography has been recognized ontologically as a “transparent” cognition and a “technical” image. Hence, the camera motion capture and essence extraction algorithm are combined. The key of generative algorithm is to accurately define the algorithm function, so as to compare specific assumptions with image information. This research study considers the novel regional dance in the context of intangible cultural heritage feature extraction to finalize the framework. Through the systematic testing, the effectiveness of the proposed model has been proved.