Automatic Co-Registration of Aerial Imagery and Untextured Model Data Utilizing Average Shading Gradients

@article{Schmitz2019AutomaticCO,
  title={Automatic Co-Registration of Aerial Imagery and Untextured Model Data Utilizing Average Shading Gradients},
  author={Sylvia Schmitz and Martin Weinmann and Boitumelo Ruf},
  journal={ArXiv},
  year={2019},
  volume={abs/1906.10882}
}
Abstract. The comparison of current image data with existing 3D model data of a scene provides an efficient method to keep models up to date. In order to transfer information between 2D and 3D data, a preliminary co-registration is necessary. In this paper, we present a concept to automatically co-register aerial imagery and untextured 3D model data. To refine a given initial camera pose, our algorithm computes dense correspondence fields using SIFT flow between gradient representations of the… Expand
1 Citations
UAV-g 2019: Unmanned Aerial Vehicles in Geomatics
  • Nex
  • Engineering
  • Drones
  • 2019
Unmanned aerial vehicle in geomatics (UAV-g) is a well-established scientific event dedicated to UAVs in geomatics and remote sensing. In the different editions of the journal, new scientificExpand

References

SHOWING 1-10 OF 21 REFERENCES
Automatic Registration of Images to Untextured Geometry Using Average Shading Gradients
TLDR
Average shading gradients is proposed, a rendering technique that estimates the average gradient magnitude over all lighting directions under Lambertian shading and is applied to registering images of real-world objects to untextured 3D meshes of limited accuracy. Expand
Automatic Alignment of Color Imagery onto 3D Laser Radar Data
TLDR
An algorithm for the automatic fusion of city-sized, 2D color imagery to 3D laser radar imagery collected from distinct airborne platforms at different times is presented, using a modified normalized correlation algorithm to solve for rotation, translation, scale and lens distortion. Expand
SIFT-Realistic Rendering
TLDR
This paper explores how point cloud rendering techniques can be leveraged to create virtual views from which dataBase features can be extracted that match real image-Based features as closely as possible. Expand
Automated texture mapping of 3D city models with oblique aerial imagery
  • Christian Früh, R. Sammon, A. Zakhor
  • Computer Science
  • Proceedings. 2nd International Symposium on 3D Data Processing, Visualization and Transmission, 2004. 3DPVT 2004.
  • 2004
This work describes an approach to texture mapping a 3D city model obtained from aerial and ground-based laser scans with oblique aerial imagery. First, the images are automatically registered byExpand
Automatic alignment of paintings and photographs depicting a 3D scene
TLDR
An ICP-like viewpoint refinement procedure is developed, where 3D surface orientation discontinuities and view-dependent occlusion boundaries are rendered from the automatically obtained and noisy 3D model in a view- dependent manner and matched to contours extracted from the paintings. Expand
Automatic registration of LIDAR and optical images of urban scenes
TLDR
This work proposes a novel application of mutual information registration methods, which exploits the statistical dependency in urban scenes of optical appearance with measured LIDAR elevation, and utilizes the well known downhill simplex optimization to infer camera pose parameters. Expand
Learning Less is More - 6D Camera Localization via 3D Surface Regression
TLDR
This work addresses the task of predicting the 6D camera pose from a single RGB image in a given 3D environment by developing a fully convolutional neural network for densely regressing so-called scene coordinates, defining the correspondence between the input image and the 3D scene space. Expand
Painting-to-3D model alignment via discriminative visual elements
TLDR
A technique that can reliably align arbitrary 2D depictions of an architectural site, including drawings, paintings, and historical photographs, with a 3D model of the site is described and the results demonstrate that the algorithm produces significantly better alignments than several baseline methods. Expand
SIFT Flow: Dense Correspondence across Scenes and Its Applications
TLDR
SIFT flow is proposed, a method to align an image to its nearest neighbors in a large image corpus containing a variety of scenes, where image information is transferred from the nearest neighbors to a query image according to the dense scene correspondence. Expand
Exhaustive Linearization for Robust Camera Pose and Focal Length Estimation
TLDR
This work proposes a novel approach for the estimation of the pose and focal length of a camera from a set of 3D-to-2D point correspondences and presents new methodologies to circumvent this limitation termed exhaustive linearization and exhaustive relinearization which perform a systematic exploration of the solution space in closed form. Expand
...
1
2
3
...