Recent years have seen an increase in the acceptance and demand for Virtual Reality surgical simulators. Although significant advances have been made in the area, real-time accurate simulation of soft tissue deformation is still a major obstacle when developing simulators with haptic feedback. On this paper we present a new multi-resolution volumetric mass-spring model that offers high visual and haptic resolution in and around the region of interaction and other critical regions. Visual and haptic resolution decreases in proportion to the distance from such regions making it possible to distribute the computational workload optimally in order to achieve real-time haptic simulation.
To graphically model and animate the realistic behavior of deformable tissue in surgical simulations, the authors' system adapts tetrahedra resolution by dynamically retessellating the mesh in and around the regions of interest. This technique overcomes limitations of previous methods that made it difficult to modify the mesh's topology online.
Augmented reality (AR) technology consists in adding computer-generated information (2D/3D) to a real video sequence in such a manner that the real and virtual objects appear coexisting in the same world. To get a realistic illusion, the real and virtual objects must be properly aligned with respect to each other, which requires a robust real-time tracking strategy-one of the bottlenecks of AR applications. In this paper, we describe the limitations and advantages of different optical tracking technologies, and we present our customized implementation of both recursive tracking and tracking by detection approaches. The second approach requires the implementation of a classifier and we propose the use of a Random Forest classifier. We evaluated both approaches in the context of an AR application for design review. Some conclusions regarding the performance of each approach are given.
In this paper we introduce an innovative application aiming at combining large, tablet-based and headmounted displays for collaborative mobile mixed reality design reviews. Our research and development is motivated by two use scenarios: automotive and architectural design review involving real users from Page\Park architects and Elasis FIAT. Our activities are supported by the EU IST project IMPROVE. It covers activities in the areas of: HMD development using unique OLED technology, markerless tracking, augmented reality rendering, image calibration for large tiled displays, collaborative tablet-based and projection wall oriented interaction and stereoscopic video streaming for mobile users. The paper gives an overview of the hardware and software developments within IMPROVE and concludes with results from first user test
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