Interactive HDR Environment Map Capturing on Mobile Devices

We investigate methods to recreate interior daylight for the model through Image- Based Lighting (IBL) [Deb98] using High Dynamic Range (HDR) environment maps from HDR photographs,

Figure 1: Our image-based stereo view synthesis pipeline from left to right: We assume a rendered image with depth buffer, as well as a disparity map as the input of our method..

Together with a CMOS/CCD image sensor, an Image Signal Processor (ISP) defines the image quality and the processing speed of the camera subsystem in mobile devices like smart- phones

Our novel method is able to reproduce a large variety of GI effects for moderately sized scenes at interactive rates, such as indirect lighting, soft shadows under environment

Taking the limited screen space of mobile devices into account, we design a novel user interface that allows painting the saliency map directly onto the retargeted image while

In our implementation, grid cells have an (ad- justable) fixed on-screen size, so that interactive zooming of the map results in re-aggregation of the data allows multiple

3D REPRESENTATION of the global scene (top) using the EM image, and local scene (bottom) using a shadow mask (blue) and 3D geometry of the main object (red).. Computation of

The green text highlights the best result for each test (for HDR-VDP and SSIM higher values are better).... The bottom images show the probability map to detect differences from