1. Three-view generation based on a single front view image for car
- Author
-
Cheng Zhong, Qin Zixuan, Lin Zhenfeng, Feng Yang, and Mengxiao Yin
- Subjects
business.industry ,Computer science ,Deep learning ,Orthographic projection ,3D reconstruction ,ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION ,Point cloud ,020207 software engineering ,02 engineering and technology ,Object (computer science) ,Computer Graphics and Computer-Aided Design ,Computer graphics ,0202 electrical engineering, electronic engineering, information engineering ,020201 artificial intelligence & image processing ,Computer vision ,Computer Vision and Pattern Recognition ,Artificial intelligence ,business ,Software ,Block (data storage) ,Interpolation - Abstract
The multi-view of an object can be used for 3D reconstruction. The method proposed in this paper generates the left and the top view of a target car through deep learning. The input of the method is only a front view of a 3D car and it isn’t necessary for the depth of the 3D car. Firstly, a rough orthographic views of the 3D car is gotten from an information constraint network which is constructed by considering the structural relation between one view and the other two views. And then the rough orthographic views is transformed into large-pixel block rough view through the nearest interpolation, at the same time, the large-pixel blocks are also migrated to improve the quality of the rough orthographic views. Finally, the generative adversarial network with perception loss is used to enhance the large-pixel block view. In addition, the three views generated by the network can be used to synthesize a 3D point cloud shell.
- Published
- 2020