In this demo we will demonstrate integration of general content delivery from a windows desktop to a multi-projector display of arbitrary, shape, size and resolution automatically calibrated using our calibration methods. We have developed these sophisticated completely automatic geometric and color registration techniques in our lab for deploying seamless multi-projector displays on popular non-planar surfaces (e.g. cylinders, domes, truncated domes). This work has gotten significant attention in both VR and Visualization venues in the past 5 years and this will be the first time such calibration will be integrated with content delivery.

Simultaneous modification and navigation of massive 3D models are difficult because repeated data edits affect the data layout and coherency on a secondary storage, which in turn affect the interactive out-of-core rendering performance. In this paper, we propose a novel approach for distributed data management for simultaneous interactive navigation and modification of massive 3D data using the readily available infrastructure of a tiled display. Tiled multi-displays, projection or LCD panel based, driven by a PC cluster, can be viewed as a cluster of storage-compute-display (SCD) nodes. Given a cluster of SCD node infrastructure, we first propose a distributed memory hierarchy for interactive rendering applications. Second, in order to further reduce the latency in such applications, we propose a new data partitioning approach for distributed storage among the SCD nodes that reduces the variance in the data load across the SCD nodes. Our data distribution method takes in a data set of any size, and reorganizes it into smaller partitions, and stores it across the multiple SCD nodes. These nodes store, manage, and coordinate data with other SCD nodes to simultaneously achieve interactive navigation and modification. Specifically, the data is not duplicated across these distributed secondary storage devices. In addition, coherency in data access, due to screen-space adjacency of adjacent displays in the tile, as well as object space adjacency of the data sets, is well leveraged in the design of the data management technique. Empirical evaluation on two large data sets, with different data density distribution, demonstrates that the proposed data management approach achieves superior performance over alternative state-of-the-art methods.

Earlier work has explored enhancing the perceived resolution of a display by shifting multiple different low-resolution images by fractions of a pixel and overlaying them in a temporally multiplexed fashion. This increases the manufacturing cost and also sacrifices the temporal resolution that can compromise other capabilities like 3D active stereo. In this paper we propose a method to achieve the same goal in projectors by performing the pixel shift and superposition optically by introducing a simple and inexpensive optical ensemble of a set of lenses on the projector light path. This does not sacrifice the temporal resolution and is extremely easy to implement in practice. However, instead of overlaying different images, we overlay an image with one or more sub-pixel shifted copies of itself. Therefore, we seek a single n×n image which when shifted and overlaid with itself creates a perceptually closer to a higher resolution 2n × 2n target image. This changes the optimization formulation significantly and requires solving a system of sparse linear equations. We take advantage of this sparsity and design a parallel implementation of this optimization in GPUs for real-time computation of the input image critical for its practical implementation. But, since this system is more constrained that using multiple overlaid images, the enhancement of resolution is compromised. However, since the optical design is very simple and inexpensive, it can be deployed on a variety of low-cost projectors and still offer a significant image quality benefit.