“Aerial scene synthesis from images” by Nilosek and Walli
Conference:
Type(s):
Title:
- Aerial scene synthesis from images
Presenter(s)/Author(s):
Abstract:
Automated synthetic terrain and architecture generation is now becoming feasible with calibrated camera remote sensing. This poster implements computer vision techniques that have recently become popular to extract “structure from motion” (SfM) of a calibrated camera with respect to a target. This process will build off of Microsoft’s popular “PhotoSynth” technique and apply it to geographic scenes imaged from an airborne platform. Additionally, it will be augmented with new features to increase the fidelity of the 3D structure for realistic scene modeling. This includes the generation of both sparse and dense point clouds useful for synthetic macro/micro-scene reconstruction.
References:
1. Hartley, R., and Zisserman, A. 2003. Multiple view geometry in computer vision. Cambridge Univ Pr.
2. Lourakis, M., and Argyros, A. 2004. The design and implementation of a generic sparse bundle adjustment software package based on the levenberg-marquardt algorithm. ICS/FORTH Technical Report TR 340.
3. Lowe, D. 1999. Object recognition from local scale-invariant features. In International Conference on Computer Vision, vol. 2, Corfu, Greece, 1150–1157.
4. Wolf, P., and Dewitt, B. 1983. Elements of photogrammetry. McGraw-Hill Singapore.
