Machine interpretation of line drawings
Machine interpretation of line drawings
The Entry-Exit Method of Shadow Boundary Segmentation
IEEE Transactions on Pattern Analysis and Machine Intelligence
Shadow segmentation and classification in a constrained environment
CVGIP: Image Understanding
International Journal of Computer Vision
Constrained Structure and Motion From Multiple Uncalibrated Views of a Piecewise Planar Scene
International Journal of Computer Vision
On 3-D Surface Reconstruction Using Shape from Shadows
CVPR '98 Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition
ICCV '98 Proceedings of the Sixth International Conference on Computer Vision
Shadow Graphs and 3D Texture Reconstruction
International Journal of Computer Vision - Special Issue on Texture Analysis and Synthesis
Cast shadow segmentation using invariant color features
Computer Vision and Image Understanding
Vertical Parallax from Moving Shadows
CVPR '06 Proceedings of the 2006 IEEE Computer Society Conference on Computer Vision and Pattern Recognition - Volume 2
3D Reconstruction by Shadow Carving: Theory and Practical Evaluation
International Journal of Computer Vision
Dense 3D Reconstruction method using Coplanarities and Metric Constraints for Line Laser Scanning
3DIM '07 Proceedings of the Sixth International Conference on 3-D Digital Imaging and Modeling
| Hi-index | 0.00 |
Recently, various techniques of shape reconstruction using cast shadows have been proposed. These techniques have the advantage that they can be applied to various scenes, including outdoor scenes, without using special devices. Previously proposed techniques usually require calibration of camera parameters and light source positions, and such calibration processes limit the range of application of these techniques. In this paper, we propose a method to reconstruct 3D scenes even when the camera parameters or light source positions are unknown. The technique first recovers the shape with 4-DOF indeterminacy using coplanarities obtained by cast shadows of straight edges or visible planes in a scene, and then upgrades the shape using metric constraints obtained from the geometrical constraints in the scene. In order to circumvent the need for calibrations and special devices, we propose both linear and nonlinear methods in this paper. Experiments using simulated and real images verified the effectiveness of this technique.