解脱 发表于 2025-3-25 07:19:37
Experiments in the Perception of Causality the usefulness of these ideas in animation, Ware . introduced a semiotic method called a visual causal vector. This work studies their wave metaphor, shows a method for calibrating timings to produce a causal impression, and explores the effect of animations timed in this way.注视 发表于 2025-3-25 11:27:25
http://reply.papertrans.cn/87/8688/868765/868765_22.png名词 发表于 2025-3-25 14:45:45
http://reply.papertrans.cn/87/8688/868765/868765_23.pngHeadstrong 发表于 2025-3-25 16:13:49
http://reply.papertrans.cn/87/8688/868765/868765_24.pngprolate 发表于 2025-3-25 20:21:38
Efficient View Management for Dynamic Annotation Placement in Virtual Landscapes of annotations in an approximate but user-centric way. It operates in real-time and therefore can be applied to interactive virtual landscapes. Additionally, the approach can be configured to fine tune the trade off between placement quality and processing time with a single parameter.可转变 发表于 2025-3-26 02:22:43
Predictive Text Fittingof this algorithm include fast convergence, as well as insensitivity to text placement engine and initial values of parameters. This algorithm has a number of potential applications, such as variable data printing, multimodal publishing, and adaptive graphic presentation.conformity 发表于 2025-3-26 08:00:44
A Modified Laplacian Smoothing Approach with Mesh Saliencyhbors. We have shown how incorporating mesh saliency with Laplacian operator can effectively preserve most sharp features while denoising the noisy model. Details of our modified Laplacian smoothing algorithm are discussed along with the test results in this paper.装入胶囊 发表于 2025-3-26 08:38:56
http://reply.papertrans.cn/87/8688/868765/868765_28.pnglesion 发表于 2025-3-26 12:57:50
http://reply.papertrans.cn/87/8688/868765/868765_29.png逗留 发表于 2025-3-26 19:58:59
Causal Perception in Virtual Environmentsntation of action structure, which supports the generation of event co-occurrences on a principled basis. We present results from a user experiment, which confirm a high level of causal perception in subjects having used the system.