Comparison of Computer Vision and Photogrammetric Approaches for Epipolar Resampling of Image Sequence
Epipolar resampling is the procedure of eliminating vertical disparity between stereo images. Due to its importance, many methods have been developed in the computer vision and photogrammetry field. However, we argue that epipolar resampling of image sequences, instead of a single pair, has not been...
Main Authors: | Jae-In Kim, Taejung Kim |
---|---|
Format: | Article |
Language: | English |
Published: |
MDPI AG
2016-03-01
|
Series: | Sensors |
Subjects: | |
Online Access: | http://www.mdpi.com/1424-8220/16/3/412 |
Similar Items
-
A General Framework of Remote Sensing Epipolar Image Generation
by: Xuanqi Wang, et al.
Published: (2021-11-01) -
Epipolar Resampling of Cross-Track Pushbroom Satellite Imagery Using the Rigorous Sensor Model
by: Mojtaba Jannati, et al.
Published: (2017-01-01) -
A Double Epipolar Resampling Approach to Reliable Conjugate Point Extraction for Accurate Kompsat-3/3A Stereo Data Processing
by: Jaehong Oh, et al.
Published: (2020-09-01) -
Dense Depth Maps from Epipolar Images
by: Mellor, J.P., et al.
Published: (2004) -
WAYS TO AUTOMATICALLY DETERMINE THE BOUNDARIES OF ADAPTIVE MATCHING AREAS ON STEREO IMAGES
by: A.V. Zubar, et al.
Published: (2024-01-01)