A Multilevel Framework for Linear Projection Constraints

Linear projection constraints are used in many aspects of the simulation such as internal articulation constraints, external Dirichlet boundary conditions, initial projection during collision handling and interactive user manipulation. We propose a novel multilevel solver that can handle linear projection constraints with superior convergence compared to Modified preconditioned Conjugate Gradient.

Venkata Arikatla, Renssealer Polytechnic Institute
Suvranu De, Renssealer Polytechnic Institute

Time-Delay Compensation for Dynamic Projection Mapping

We propose a technique of compensating a time-delay of projection on moving objects, by predicting target’s future position. The prediction is based on human eye’s characteristic, and its computation cost is very low so that this application can run on real-time.

Shohei Sakamaki,The University of Electro-Communications
Naoki Hashimoto, The University of Electro-Communications

Applications of Projection Based Interactive User Interface

In this study, we proposed a novel interactive system. Through interactive glove, the user and the environment can have bidirectional interaction. Three experimental applications using a whiteboard were proposed for educational purposes. The proposed system could further be applied in various fields such as entertainment or indoor activities.

Jun-Cheol Park, Korea Advanced Institute of Science and Technology
Yunhun Jang, Korea Advanced Institute of Science and Technology
Hyungwon Choi, Korea Advanced Institute of Science and Technology
Sihyeon Seong, Korea Advanced Institute of Science and Technology
Sunghun Kang, Korea Advanced Institute of Science and Technology
Dae-Shik Kim, Korea Advanced Institute of Science and Technology

Capture of Omni-Directional Stereoscopic Panoramic Images

A practical technique has been developed and tested for creating omnidirectional stereoscopic panoramic images at a resolution to match high resolution cylindrical display systems.

Paul Bourke, University of Western Australia
Volker Kuchelmeister, University of New South Wales

Sparse BRDF Approximation using Compressive Sensing

We infer reflectance function by decomposing it in basis and recovering coefficients from a single shot, assuming the BRDF is sparse.

Benoît Zupancic, INRIA - Le laboratoire Jean Kuntzmann, Univesité Jospeh Fourier
Cyril Soler, INRIA - Le laboratoire Jean Kuntzmann