Title :
Selective visuo-haptic rendering of heterogeneous objects in “parallel universes”
Author :
Lei Wei ; Hailing Zhou ; Nahavandi, S.
Author_Institution :
Centre for Intell. Syst. Res., Deakin Univ., Geelong, VIC, Australia
Abstract :
Haptic rendering of complex models is usually prohibitive due to its much higher update rate requirement compared to visual rendering. Previous works have tried to solve this issue by introducing local simulation or multi-rate simulation for the two pipelines. Although these works have improved the capacity of haptic rendering pipeline, they did not take into consideration the situation of heterogeneous objects in one scenario, where rigid objects and deformable objects coexist in one scenario and close to each other. In this paper, we propose a novel idea to support interactive visuo-haptic rendering of complex heterogeneous models. The idea incorporates different collision detection and response algorithms and have them seamlessly switched on and off on the fly, as the HIP travels in the scenario. The selection of rendered models is based on the hypothesis of “parallel universes”, where the transition of rendering one group of models to another is totally transparent to users. To facilitate this idea, we proposed a procedure to convert the traditional single universe scenario into a “multiverse” scenario, where the original models are grouped and split into each parallel universe, depending on the scenario rendering requirement rather than just locality. We also proposed to add simplified visual objects as background avatars in each parallel universe to visually maintain the original scenario while not overly increase the scenario complexity. We tested the proposed idea in a haptically-enabled needle thoracostomy training environment and the result demonstrates that our idea is able to substantially accelerate visuo-haptic rendering with complex heterogeneous scenario objects.
Keywords :
avatars; haptic interfaces; rendering (computer graphics); HIP; background avatars; collision detection; complex heterogeneous models; complex heterogeneous scenario objects; complex models; deformable objects; haptic interaction point; haptic rendering pipeline capacity; haptically-enabled needle thoracostomy training environment; interactive visuo-haptic rendering; multiverse scenario; parallel universes; response algorithms; rigid objects; scenario complexity; selective visuo-haptic rendering; single-universe scenario; visual objects; Avatars; Collision avoidance; Deformable models; Haptic interfaces; Hip; Rendering (computer graphics); Visualization; haptic rendering; heterogeneous models; parallel universe;
Conference_Titel :
Systems, Man and Cybernetics (SMC), 2014 IEEE International Conference on
Conference_Location :
San Diego, CA
DOI :
10.1109/SMC.2014.6974246