Learning transformation invariance for pairwise image matching
Image matching is a fundamental problem in computer vision. In this thesis, we address the image matching problem as learning and classifying correspondences. More precisely, we formulate the image matching problem as: given a set of training pairs of images that implicitly captures the tra...
Saved in:
Main Author: | Chen, Xi |
---|---|
Other Authors: | Cham Tat Jen |
Format: | Theses and Dissertations |
Language: | English |
Published: |
2010
|
Subjects: | |
Online Access: | https://hdl.handle.net/10356/41433 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Institution: | Nanyang Technological University |
Language: | English |
Similar Items
-
Matching-constrained active contours with affine-invariant shape prior
by: Yeung, Sai-Kit, et al.
Published: (2015) -
Exposing postprocessed copy–paste forgeries through transform-invariant features
by: Sudha, N., et al.
Published: (2012) -
Image matching based indoor localization and navigation for mobile users
by: Tao, Qingyi
Published: (2015) -
Graph model-based feature point matching
by: Wang, Chen
Published: (2013) -
Deep learning for medical image analysis
by: Yang, Ivan Sze Yuan
Published: (2020)