During multi-slice interactive visualization for out-of-core seismic volume on common computing platform, traditional cache scheduling approaches, which take no account of the spacial relationship between blocks and slices, lead to the low cache hit rate while interacting. And it's also difficult to achieve high rendering quality by use of common multi-resolution rendering methods. In view of these problems, a cache scheduling strategy named Maximum Distance First Out (MDFO) was designed. Firstly, according to the spatial position of the interactive slice, the scheduling priority of the block in the cache was improved, which ensures that the candidate block has a higher hit rate when the slice interacts continuously. Then, a two-stage slice interaction method was proposed. By using the fixed resolution body block to ensure the real-time interaction, the final display quality was improved by the step-by-step refinement, and the information entropy of the block data was further combined to enhance the resolution of the user's region of interest. The experimental results show that the proposed method can effectively improve the overall hit rate of the body block and reach the proportion of more than 60%. Meanwhile, the two-stage strategy can achieve higher quality images for application-oriented requirements and resolve the contradiction between interaction efficiency and rendering quality for out-of-core seismic data visualization.

Since there are severe instability problems of human-computer interaction in 3D scenes' navigation, a data processing algorithm of variable smoothing and normalization model for sensors of smart terminals was proposed. In view of the data characteristics of sensors and processing characteristics of each smoothing model, the different smoothing models were combined and the variations of smooth window were enabled. A normalization algorithm was applied to deal with the interaction data of sensors equidistantly. The experimental results in navigation system of 3D scenes based on terminals show that, the standard variance decreases by 71.3% after dealing with low frequency data of sensors with the proposed algorithm, which means the data perturbations is significantly reduced. And while processing the high frequency data, the standard variance decreases by 7.9%, which effectively preserves the signal features. The proposed algorithm can distinctly improve the stability and continuity of 3D navigation interaction using smart terminals.