TITLE: Acquiring Environment Map Though Image Mosaicking Speaker: Bo Hu An environment map is a representation of all the light reaching to a certain point. It is essential for many virtual reality and augmented reality applications. We use image mosaicking, the technique to stitch regular images to form a wide angle image, to get the environment map of a scene. The key step of image mosaicking is to compute the projective transformation between images. We will describe our implementation to compute this transformation accurately. When there are light sources in the images, pixel values cannot be used directly as lighting values, due to saturation or under-exposure. To solve this problem, the response curve of a camera is recovered using multiple images taken at different integration time. This curve is then used to generate a high dynamic range image. We call this high dynamic range image mosaic the 'environment map'. In the talk, we will focus on implementation details. Experiment results will be shown.