Camera pose estimation framework for array-structured images
Despite the significant progress in camera pose estimation and structure-from-motion reconstruction from unstructured images, methods that exploit a priori information on camera arrangements have been overlooked. Conventional state-of-the-art methods do not exploit the geometric structure to recov...
Main Authors: | Min-Jung Shin, Woojune Park, Jung Hee Kim, Joonsoo Kim, Kuk-Jin Yun, Suk-Ju Kang |
---|---|
Format: | Article |
Language: | English |
Published: |
Electronics and Telecommunications Research Institute (ETRI)
2022-02-01
|
Series: | ETRI Journal |
Subjects: | |
Online Access: | https://doi.org/10.4218/etrij.2021-0303 |
Similar Items
-
Pose Estimation of Omnidirectional Camera with Improved EPnP Algorithm
by: Xuanrui Gong, et al.
Published: (2021-06-01) -
Reduced egomotion estimation drift using omnidirectional views
by: Yalin Bastanlar
Published: (2014-09-01) -
VNLSTM-PoseNet: A novel deep ConvNet for real-time 6-DOF camera relocalization in urban streets
by: Ming Li, et al.
Published: (2021-07-01) -
Point Cloud Plane Segmentation-Based Robust Image Matching for Camera Pose Estimation
by: Junqi Bao, et al.
Published: (2023-01-01) -
Deep Photo-Geometric Loss for Relative Camera Pose Estimation
by: Yongju Cho, et al.
Published: (2023-01-01)