Abstract This paper presents novel techniques and metaphors for on‐demand visual workspaces in everyday office environments, providing space‐efficient, flexible and highly interactive graphical user interfaces using projected displays. For increased resolution, contents personalization and interactive visualization, the users can augment the large‐scale projections with dynamic high‐resolution foveal enhancements using a pocket light metaphor. To further optimize the presentation at a given resolution, the design of the displays can be modified interactively, and like a jigsaw puzzle, the layout can be customized using an adaptive compositing approach which supports free‐form focus‐and‐context rendering. With a unified intensity‐based tracking approach, we allow for natural multi‐touch interaction with the information space through bare hands, pointers and pens on arbitrary surfaces.

We present a novel display metaphor which extends traditional tabletop projections in collaborative environments by introducing freeform, environment-aware display representations and a matching set of interaction schemes. For that purpose, we map personalized widgets or ordinary computer applications that have been designed for a conventional, rectangular layout into space-efficient bubbles whose warping is performed with a potential-based physics approach. With a set of interaction operators based on laser pointer tracking, these freeform displays can be transformed and elastically deformed using focus and context visualization techniques. We also provide operations for intuitive instantiation of bubbles, cloning, cut & pasting, deletion and grouping in an interactive way, and we allow for user-drawn annotations and text entry using a projected keyboard. Additionally, an optional environment-aware adaptivity of the displays is achieved by imperceptible, realtime scanning of the projection geometry. Subsequently, collision-responses of the bubbles with non-optimal surface parts are computed in a rigid body simulation. The extraction of the projection surface properties runs concurrently with the main application of the system. Our approach is entirely based on off the-shelf, low-cost hardware including DLP-projectors and FireWire cameras.

We present a framework for achieving user-defined on-demand displays in setups containing bricks of movable cameras and DLP-projectors. A dynamic calibration procedure is introduced, which handles cameras and projectors in a unified way and allows continuous flexible setup changes, while seamless projection alignment and blending is performed simultaneously. For interaction, an intuitive laser pointer based technique is developed, which can be combined with real-time 3D information acquired from the scene. All these tasks can be performed concurrently with the display of a user-chosen application in a non-disturbing way. This is achieved by using an imperceptible structured light approach enabling pixel-based surface light control suited for a wide range of computer graphics and vision algorithms. To ensure scalability of light control in the same working space, multiple projectors are multiplexed.

We introduce a method to imperceptibly embed arbitrary binary patterns into ordinary color images displayed by unmodified off-the-shelf digital light processing (DLP) projectors. The encoded images are visible only to cameras synchronized with the projectors and exposed for a short interval, while the original images appear only minimally degraded to the human eye. To achieve this goal, we analyze and exploit the micro-mirror modulation pattern used by the projection technology to generate intensity levels for each pixel and color channel. Our real-time embedding process maps the user's original color image values to the nearest values whose camera-perceived intensities are the ones desired by the binary image to be embedded. The color differences caused by this mapping process are compensated by error-diffusion dithering. The non-intrusive nature of our approach allows simultaneous (immersive) display and acquisition under controlled lighting conditions, as defined on a pixel level by the binary patterns. We therefore introduce structured light techniques into human-inhabited mixed and augmented reality environments, where they previously often were too intrusive.

We present a new scheme for digital watermarking of point-sampled geometry based on spectral analysis. By extending existing algorithms designed for polygonal data to unstructured point clouds, our method is particularly suited for scanned models, where the watermark can be directly embedded in the raw data obtained from the 3D acquisition device. To handle large data sets efficiently, we apply a fast hierarchical clustering algorithm that partitions the model into a set of patches. Each patch is mapped into the space of eigenfunctions of an approximate Laplacian operator to obtain a decomposition of the patch surface into discrete frequency bands. The watermark is then embedded into the low frequency components to minimize visual artifacts in the model geometry. During extraction, the target model is resampled at optimal resolution using an MLS projection. After extracting a watermark from this model, the corresponding bit stream is analyzed using statistical methods based on correlation. We have applied our method to a number of point-sampled models of different geometric and topological complexity. These experiments show that our watermarking scheme is robust against numerous attacks, including low-pass filtering, resampling, affine transformations, cropping, additive random noise, and combinations of the above.