Representing stereo data with the Delaunay triangulation
Artificial Intelligence
Animating pictures with stochastic motion textures
ACM SIGGRAPH 2005 Papers
Photo tourism: exploring photo collections in 3D
ACM SIGGRAPH 2006 Papers
Detailed Real-Time Urban 3D Reconstruction from Video
International Journal of Computer Vision
Animating animal motion from still
ACM SIGGRAPH Asia 2008 papers
Modeling the World from Internet Photo Collections
International Journal of Computer Vision
Scene Segmentation Using the Wisdom of Crowds
ECCV '08 Proceedings of the 10th European Conference on Computer Vision: Part II
Image-based street-side city modeling
ACM SIGGRAPH Asia 2009 papers
Accurate, Dense, and Robust Multiview Stereopsis
IEEE Transactions on Pattern Analysis and Machine Intelligence
Temporal representation and reasoning in artificial intelligence: A review
Mathematical and Computer Modelling: An International Journal
Hi-index | 0.00 |
This paper presents a technique to simultaneously model 3D urban scenes in the spatial-temporal space using a collection of photos that span many years. We propose to use a middle level representation, building, to characterize significant structure changes in the scene. We first use structure-from-motion techniques to build 3D point clouds, which is a mixture of scenes from different periods of time. We then segment the point clouds into independent buildings using a hierarchical method, including coarse clustering on sparse points and fine classification on dense points based on the spatial distance of point clouds and the difference of visibility vectors. In the fine classification, we segment building candidates using a probabilistic model in the spatial-temporal space simultaneously. We employ a z-buffering based method to infer existence of each building in each image. After recovering temporal order of input images, we finally obtain 3D models of these buildings along the time axis. We present experiments using both toy building images captured from our lab and real urban scene images to demonstrate the feasibility of the proposed approach.