Aligning images in the wild
Aligning image pairs with significant appearance change is a long standing computer vision challenge. Much of this problem stems from the local patch descriptors’ instability to appearance variation. In this paper we suggest this instability is due less to descriptor corruption and more the difficul...
Saved in:
Main Authors: | LIN, Wen-yan, LIU, Linlin, MATSUSHITA, Yasuyuki, LOW, Kok-Lim, LIU, Siying |
---|---|
Format: | text |
Language: | English |
Published: |
Institutional Knowledge at Singapore Management University
2012
|
Subjects: | |
Online Access: | https://ink.library.smu.edu.sg/sis_research/4807 https://ink.library.smu.edu.sg/context/sis_research/article/5810/viewcontent/10.1.1.227.4441.pdf |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Institution: | Singapore Management University |
Language: | English |
Similar Items
-
Let’s think outside the box: Exploring leap-of-thought in large language models with multimodal humor generation
by: ZHONG, Shanshan, et al.
Published: (2024) -
Position-guided text prompt for vision-language pre-training
by: WANG, Alex Jinpeng, et al.
Published: (2023) -
Wav-BERT: Cooperative acoustic and linguistic representation learning for low-resource speech recognition
by: ZHENG, Guolin, et al.
Published: (2021) -
Dimensionality's blessing: Clustering images by underlying distribution
by: LIN, Wen-yan, et al.
Published: (2018) -
CAPGEN/Online: a fourth generation language
by: Ahmed, Iftikhar
Published: (1992)