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Automated fabric defect detection—A review
HYT Ngan, GKH Pang, NHC Yung - Image and vision computing, 2011 - Elsevier
This paper provides a review of automated fabric defect detection methods developed in
recent years. Fabric defect detection, as a popular topic in automation, is a necessary and …
recent years. Fabric defect detection, as a popular topic in automation, is a necessary and …
Structure extraction from texture via relative total variation
It is ubiquitous that meaningful structures are formed by or appear over textured surfaces.
Extracting them under the complication of texture patterns, which could be regular, near …
Extracting them under the complication of texture patterns, which could be regular, near …
[KSIĄŻKA][B] Computer vision: algorithms and applications
R Szeliski - 2022 - books.google.com
Humans perceive the three-dimensional structure of the world with apparent ease. However,
despite all of the recent advances in computer vision research, the dream of having a …
despite all of the recent advances in computer vision research, the dream of having a …
A survey of urban reconstruction
This paper provides a comprehensive overview of urban reconstruction. While there exists a
considerable body of literature, this topic is still under active research. The work reviewed in …
considerable body of literature, this topic is still under active research. The work reviewed in …
Partial and approximate symmetry detection for 3d geometry
" Symmetry is a complexity-reducing concept [...]; seek it every-where."-Alan J. PerlisMany
natural and man-made objects exhibit significant symmetries or contain repeated …
natural and man-made objects exhibit significant symmetries or contain repeated …
Image partial blur detection and classification
R Liu, Z Li, J Jia - 2008 IEEE conference on computer vision …, 2008 - ieeexplore.ieee.org
In this paper, we propose a partially-blurred-image classification and analysis framework for
automatically detecting images containing blurred regions and recognizing the blur types for …
automatically detecting images containing blurred regions and recognizing the blur types for …
Discovering structural regularity in 3D geometry
We introduce a computational framework for discovering regular or repeated geometric
structures in 3D shapes. We describe and classify possible regular structures and present …
structures in 3D shapes. We describe and classify possible regular structures and present …
TILT: Transform invariant low-rank textures
In this paper, we propose a new tool to efficiently extract a class of “low-rank textures” in a
3D scene from user-specified windows in 2D images despite significant corruptions and …
3D scene from user-specified windows in 2D images despite significant corruptions and …
A two-step descriptor-based keypoint filtering algorithm for robust image matching
Finding robust and correct keypoints in images remains a challenge, especially when
repetitive patterns are present. In this article, we propose a universal two-step filtering …
repetitive patterns are present. In this article, we propose a universal two-step filtering …
Structure-aware shape processing
Shape structure is about the arrangement and relations between shape parts. Structure-
aware shape processing goes beyond local geometry and low level processing to analyze …
aware shape processing goes beyond local geometry and low level processing to analyze …