distributed parallel rendering provides a valuable way to navigate large-scale scenes. However, previous works typically focused on outputting ultra-high-resolution images. In this paper, we target on improving the in...
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distributed parallel rendering provides a valuable way to navigate large-scale scenes. However, previous works typically focused on outputting ultra-high-resolution images. In this paper, we target on improving the interactivity of navigation and propose a large-scale scene navigation method, GuideRender, based on multi-modal view frustum movement prediction. Given previous frames, user inputs and object information, GuideRender first extracts frames, user inputs and objects features spatially and temporally using the multi-modal extractor. To obtain effective fused features for prediction, we introduce an attentional guidance fusion module to fuse these features of different domains with attention. Finally, we predict the movement of the view frustum based on the attentional fused features and obtain its future state for loading data in advance to reduce latency. In addition, to facilitate GuideRender, we design an object hierarchy hybrid tree for scene management based on the object distribution and hierarchy, and an adaptive virtual sub-frustum decomposition method based on the relationship between the rendering cost and the rendering node capacity for task decomposition. Experimental results show that GuideRender outperforms baselines in navigating large-scale scenes. We also conduct a user study to show that our method satisfies the navigation requirements in large-scale scenes.
The paper describes a mehod for compression of geometry data stream in distributed parallel rendering systems. First this paper uses edge collapse method with discrete curvature error metric to construct multi-resolut...
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ISBN:
(纸本)9781424427994
The paper describes a mehod for compression of geometry data stream in distributed parallel rendering systems. First this paper uses edge collapse method with discrete curvature error metric to construct multi-resolution models, and use variable quantization of precision to compression 3-dimensional models;then models were provided to view-dependent progressive transmission method to deal with, and implement it with a distributed parallel rendering system for virtual manufacturing;While this paper use the parallelogram prediction of vertex coordinates and the angular space within one sextant of normal to compress 3-dimensional models, alleviating network bandwidth bottleneck.
The paper describes a framework for time-critical rendering of graphics scenes composed of a large number of objects having complex geometric descriptions. An algorithm for mesh simplification both view-independent an...
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ISBN:
(纸本)9781424427994
The paper describes a framework for time-critical rendering of graphics scenes composed of a large number of objects having complex geometric descriptions. An algorithm for mesh simplification both view-independent and view-dependent for original complex model was presented in this paper, First this paper uses edge collapse method with discrete curvature error metric to construct multi-resolution models, then simplified models were provided to view-dependent progressive transmission method to deal with, and implement it with a immediate-mode/retained-mode hybrid distributed parallel rendering system for virtual manufacturing;While this paper use the algorithm called geometry indexing that avoids the redundant geometry transmission by indexing geometry data, alleviating network bandwidth bottleneck.
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