3D Visual Reconstruction from 2D and 3D Images
Abstract: Half of computer vision is about 3D reconstruction, that is, using many images of the same scene to build a 3D model of it (the other half is recognition). Two recent developments by Microsoft Research have brought 3D reconstruction into the mainstream. The project on Building Rome in a Day produced a system that reconstructs the 3D shape of famous buildings from tourist pictures harvested from the web. The KinectFusion project takes relatively noisy and narrow-field-of-view depth images from a $200 depth sensor made by Israeli company PrimeSense and stitches them into gorgeous, detailed, and accurate 3D models in real time. We will discuss underlying technologies, achievements, trade-offs, and opportunities. I will also clarify why it is still useful to do reconstruction the hard way, from 2D images, and why one still needs to do reconstruction even with a 3D sensor. Important: Please bring questions to the discussion. Required Readings: Optional Readings: |