Modeling and rendering architecture from photographs: a hybrid geometry- and image-based approach
SIGGRAPH '96 Proceedings of the 23rd annual conference on Computer graphics and interactive techniques
Multiple view geometry in computer visiond
Multiple view geometry in computer visiond
IEEE Transactions on Pattern Analysis and Machine Intelligence
A Graph-Based Method for Face Identification from a Single 2D Line Drawing
IEEE Transactions on Pattern Analysis and Machine Intelligence - Graph Algorithms and Computer Vision
Interactive Construction of 3D Models from Panoramic Mosaics
CVPR '98 Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition
A Shape-from-Shading Method of Polyhedral Objects Using Prior Information
IEEE Transactions on Pattern Analysis and Machine Intelligence
3D object retrieval using 2D line drawing and graph based relevance reedback
MULTIMEDIA '06 Proceedings of the 14th annual ACM international conference on Multimedia
Improved feature extraction and matching in urban environments based on 3D viewpoint normalization
Computer Vision and Image Understanding
Hi-index | 0.01 |
3D object reconstruction from single 2D images has many applications in multimedia. This paper proposes an approach based on image regularities such as connectivity, parallelism, and orthogonality possessed by the objects with simple user interactions. It is assumed that the objects are piecewise planar. By representing the 3D objects as a shape vector consisting of the normals of the faces of the objects, we impose geometric constraints on this shape vector using the regularities of the objects. We derive a system of equations in terms of the shape vector and the focal length, which we can solve for the shape vector optimally. Experimental results on real images are shown to demonstrate the effectiveness of this method.