TY - GEN
T1 - An interactive registration method for images to the 3D urban scene model
AU - Shen, Xiaorong
AU - Hong, Peng
AU - Xiu, Quanfa
AU - Zhang, Tianlong
N1 - Publisher Copyright:
© 2016 IEEE.
PY - 2016/7/2
Y1 - 2016/7/2
N2 - In order to fast register a camera into a 3D scene model under the Manhattan-World assumption, a method of matching corresponding 2D and 3D lines based on vanishing point is proposed in this paper. Firstly, this method detects line segments and estimates three orthogonal vanishing points to determine the local length of camera and the matrix from world to camera space. Afterwards, one line is drawn in the image and 3D model respectively. The registration of the camera with respect to the model is performed by matching these two lines. To decrease the interference, we connect the fragments of lines and adopt a minimization approach to update the vanishing points. Our method makes three assumptions: 1) at least two dominant vanishing points are contained, 2) no obvious distortion, 3) the principal point lies at the center of image. At present, our approach of vanishing point estimation achieves a state-of-the-art performance on the standard test database. The entire method has been validated to be applied to augment virtual environment and fast 3D scene reconstruction.
AB - In order to fast register a camera into a 3D scene model under the Manhattan-World assumption, a method of matching corresponding 2D and 3D lines based on vanishing point is proposed in this paper. Firstly, this method detects line segments and estimates three orthogonal vanishing points to determine the local length of camera and the matrix from world to camera space. Afterwards, one line is drawn in the image and 3D model respectively. The registration of the camera with respect to the model is performed by matching these two lines. To decrease the interference, we connect the fragments of lines and adopt a minimization approach to update the vanishing points. Our method makes three assumptions: 1) at least two dominant vanishing points are contained, 2) no obvious distortion, 3) the principal point lies at the center of image. At present, our approach of vanishing point estimation achieves a state-of-the-art performance on the standard test database. The entire method has been validated to be applied to augment virtual environment and fast 3D scene reconstruction.
KW - 3D reconstruction
KW - Augment virtual environment
KW - Manhattan world
KW - Registration
KW - Vanishing point
UR - https://www.scopus.com/pages/publications/85013640206
U2 - 10.1109/ISCID.2016.2049
DO - 10.1109/ISCID.2016.2049
M3 - 会议稿件
AN - SCOPUS:85013640206
T3 - Proceedings - 2016 9th International Symposium on Computational Intelligence and Design, ISCID 2016
SP - 176
EP - 179
BT - Proceedings - 2016 9th International Symposium on Computational Intelligence and Design, ISCID 2016
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 9th International Symposium on Computational Intelligence and Design, ISCID 2016
Y2 - 10 December 2016 through 11 December 2016
ER -