Knowing the 3D structure of a scene provides valuable information for image analysis and understanding.
Our group works on the reconstruction of 3D models from video sequences.
We focus on the research of robust methods for use in uncontrolled environments.
Aiming for easy and robust reconstruction with standard camcorders, this work introduces a close coupling between sparse bundle adjustment and dense multi-view reconstruction. The method introduces surface constraints by the sparse point cloud and an implicit loop closing via the dense surface.
IEEE International Conference on Computer Vision (ICCV), Dec 2013
Thin flat surface cannot be modeled efficiently with grid based methods. In this work we propose a regularized point cloud representation that allows reconstruction of thin objects, such as sign posts, plants, etc.
Demo 3D Reconstructions from Videos
The left column shows the input video taken with a commodity hand-held camera.
The right column shows the corresponding reconstructed 3D model.