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Large-scale movies often require extensive special effects to captivate audiences. To enhance the realism and quality of these effects, especially in complex scenes, a method combining detail-level fusion for post-special effects rendering is introduced. This method involves creating a detailed hierarchy diagram and a visual information sampling model to sample color-matched visuals and extract auxiliary visual elements. It aims to improve the visual communication of special effects and enable real-time, high-quality rendering. Experimental results demonstrate that this approach delivers higher resolution, better quality in film production, consistent output, stability across various scenes, and superior rendering and tracking capabilities, with higher recall and comprehensive evaluation scores, as well as enhanced visual effects.

A curvature-based algorithm to simplify a polygonal curve is described, together with its implementation. The so-called SimpliPoly algorithm uses Bézier curves to approximate pieces of the input curve, and assign curvature estimates to vertices of the input polyline from curvature values computed for the Bézier approximations. The authors' implementation of SimpliPoly is interactive and available freely on-line. Additionally, a third-party implementation of SimpliPoly as a plug-in for the GNU Blender 3D modeling software is available. Empirical comparisons indicate that SimpliPoly performs as well as the widely-used Douglas-Peucker algorithm in most situations, and significantly better, because it is curvature-driven, in applications where it is necessary to preserve local features.

Reconciling scene realism with interactivity has emerged as one of the most important areas in making virtual reality feasible for large-scale CAD data sets consisting of several millions of primitives. Level of detail (LoD) and multi-resolution modeling techniques in virtual reality can be used to speed up the process of virtual design and virtual prototyping. In this paper, we present an automatic LoD generation and rendering algorithm, which is suitable for CAD models and propose a new multi-resolution representation scheme called MRM (multi-resolution model), which can support efficient extraction of fixed resolution and variable resolution for multiple objects in the same scene. MRM scheme supports unified selective simplifications and selective refinements over the mesh. Furthermore, LoD and multi-resolution models may be used to support real-time geometric transmission in collaborative virtual design and prototyping.

Image-driven simplification has been proposed as a simplification method which generates models with high fidelity and intrinsically factors in the error from mesh appearance properties. However, this approach is very time consuming since it requires multiple render and image captures for each simplification operation. By formulating a new error metric, we devise an image-driven algorithm which requires only one image capture. The proposed single viewpoint simplification runs at least 25 times faster than the previous approach with better quality overall.