A Time-Critical Adaptive Approach for Visualizing Natural Scenes on Different Devices

To automatically adapt to various hardware and software environments on different devices, this paper presents a time-critical adaptive approach for visualizing natural scenes. In this method, a simplified expression of a tree model is used for different devices. The best rendering scheme is intelligently selected to generate a particular scene by estimating the rendering time of trees based on their visual importance. Therefore, this approach can ensure the reality of natural scenes while maintaining a constant frame rate for their interactive display. To verify its effectiveness and flexibility, this method is applied in different devices, such as a desktop computer, laptop, iPad and smart phone. Applications show that the method proposed in this paper can not only adapt to devices with different computing abilities and system resources very well but can also achieve rather good visual realism and a constant frame rate for natural scenes.

[1]  Fengxia Li,et al.  A Time-Controlling Terrain Rendering Algorithm , 2006, VSMM.

[2]  Qi Tian,et al.  Mining flickr landmarks by modeling reconstruction sparsity , 2011, TOMCCAP.

[3]  Jing Fan,et al.  Real-time information recombination of complex 3D tree model based on visual perception , 2013, Science China Information Sciences.

[4]  Yue Gao,et al.  3-D Object Retrieval and Recognition With Hypergraph Analysis , 2012, IEEE Transactions on Image Processing.

[5]  Xiaoyuan Zhu,et al.  Multi-Scale Spatial Concatenations of Local Features in Natural Scenes and Scene Classification , 2013, PloS one.

[6]  Miguel Chover,et al.  View-dependent pruning for real-time rendering of trees , 2011, Comput. Graph..

[7]  Junqing Yu,et al.  On-Device Mobile Visual Location Recognition by Using Panoramic Images and Compressed Sensing Based Visual Descriptors , 2014, PloS one.

[8]  Miguel Chover,et al.  Geometric Simplification of Foliage , 2002, Eurographics.

[9]  Wen Gao,et al.  Location Discriminative Vocabulary Coding for Mobile Landmark Search , 2012, International Journal of Computer Vision.

[10]  Chang-Wen Zheng,et al.  KD-tree based parallel adaptive rendering , 2012, The Visual Computer.

[11]  Marc Jaeger,et al.  Multiresolution plant models with complex organs , 2006, VRCIA '06.

[12]  Junqing Yu,et al.  Projected Residual Vector Quantization for ANN Search , 2014, IEEE MultiMedia.

[13]  Tu Chao Real-Time Rendering of Realistic Trees in Virtual Reality Systems , 2009 .

[14]  Qing Zhu,et al.  Time-critical adaptive visualization method of 3D city models , 2007, International Symposium on Multispectral Image Processing and Pattern Recognition.

[15]  Gang Wan,et al.  Adaptive Transmitting and Rendering Methods for Large Terrain , 2010, 2010 Second International Conference on Computer Modeling and Simulation.

[16]  Ioana M. Boier-Martin Hybrid transcoding for adaptive transmission of 3D content , 2002, ICME.

[17]  Michael Wimmer,et al.  Load Balancing for Smooth LODs , 1998 .

[18]  Junqing Yu,et al.  On-Device Mobile Visual Location Recognition by Integrating Vision and Inertial Sensors , 2013, IEEE Transactions on Multimedia.

[19]  Zhang Lu The Modeling and Animation of Complex 3D Forestry Scenarios , 2010 .

[20]  Stephan Mantler,et al.  Time-critical rendering of discrete and continuous levels of detail , 2002, VRST '02.

[21]  Xindong Wu,et al.  3-D Object Retrieval With Hausdorff Distance Learning , 2014, IEEE Transactions on Industrial Electronics.

[22]  Fang Zhao,et al.  On brain activity mapping: insights and lessons from Brain Decoding Project to map memory patterns in the hippocampus , 2013, Science China Life Sciences.

[23]  Lei Yang,et al.  Temporal Coherence Methods in Real‐Time Rendering , 2012, Comput. Graph. Forum.

[24]  Jia-Guang Sun,et al.  An octree-based proxy for collision detection in large-scale particle systems , 2012, Science China Information Sciences.

[25]  Guanbo Bao,et al.  Large-scale forest rendering: Real-time, realistic, and progressive , 2012, Comput. Graph..

[26]  Qi Tian,et al.  Task-Dependent Visual-Codebook Compression , 2012, IEEE Transactions on Image Processing.

[27]  Shimin Hu,et al.  Adaptive Partitioning of Urban Facades , 2011 .

[28]  范菁,et al.  Adaptive visualization of multi-style composition for complex forest scene , 2013 .

[29]  Robert L. Cook,et al.  Stochastic simplification of aggregate detail , 2007, ACM Trans. Graph..

[30]  Guanbo Bao,et al.  Realistic real-time rendering for large-scale forest scenes , 2011, 2011 IEEE International Symposium on VR Innovation.

[31]  Ralf Steinmetz,et al.  Multigranularity reuse of learning resources , 2011, TOMCCAP.

[32]  Carlo H. Séquin,et al.  Adaptive display algorithm for interactive frame rates during visualization of complex virtual environments , 1993, SIGGRAPH.

[33]  Junqing Yu,et al.  Efficient BOF Generation and Compression for On-Device Mobile Visual Location Recognition , 2014, IEEE MultiMedia.

[34]  Wen Gao,et al.  Learning to Distribute Vocabulary Indexing for Scalable Visual Search , 2013, IEEE Transactions on Multimedia.

[35]  Junqing Yu,et al.  Real-Time Camera Pose Estimation for Wide-Area Augmented Reality Applications , 2011, IEEE Computer Graphics and Applications.

[36]  Marc Jaeger,et al.  Multiresolution foliage for forest rendering , 2010, Comput. Animat. Virtual Worlds.