Automatic 3D Car Model Alignment for Mixed Image-Based Rendering

Rodrigo Ortiz-Cayon, Abdelaziz Djelouah, Francisco Massa, Mathieu Aubry, George Drettakis
2016 2016 Fourth International Conference on 3D Vision (3DV)  
Image-Based Rendering (IBR) allows good-quality freeviewpoint navigation in urban scenes, but suffers from artifacts on poorly reconstructed objects, e.g., reflective surfaces such as cars. To alleviate this problem, we propose a method that automatically identifies stock 3D models, aligns them in the 3D scene and performs morphing to better capture image contours. We do this by first adapting learning-based methods to detect and identify an object class and pose in images. We then propose a
more » ... hod which exploits all available information, namely partial and inaccurate 3D reconstruction, multi-view calibration, image contours and the 3D model to achieve accurate object alignment suitable for subsequent morphing. These steps provide models which are well-aligned in 3D and to contours in all the images of the multi-view dataset, allowing us to use the resulting model in our mixed IBR algorithm. Our results show significant improvement in image quality for free-viewpoint IBR, especially when moving far from the captured viewpoints.
doi:10.1109/3dv.2016.37 dblp:conf/3dim/CayonDMAD16 fatcat:leivwqba2fdanar3ahlfhsqjhq