Fabric defect detection systems and methods—A systematic literature review
This paper presents a comprehensive literature review of fabric defect detection methods
First, it briefly explains basic image acquisition system components such as camera and …
First, it briefly explains basic image acquisition system components such as camera and …
A review of recent advances in surface defect detection using texture analysis techniques
X **, perception and interaction: A survey
For robots to navigate and interact more richly with the world around them, they will likely
require a deeper understanding of the world in which they operate. In robotics and related …
require a deeper understanding of the world in which they operate. In robotics and related …
Local fisher discriminant analysis for pedestrian re-identification
Metric learning methods, for person re-identification, estimate a scaling for distances in a
vector space that is optimized for picking out observations of the same individual. This paper …
vector space that is optimized for picking out observations of the same individual. This paper …
Support vector machines for histogram-based image classification
Traditional classification approaches generalize poorly on image classification tasks,
because of the high dimensionality of the feature space. This paper shows that support …
because of the high dimensionality of the feature space. This paper shows that support …
Malaria parasite detection from peripheral blood smear images using deep belief networks
D Bibin, MS Nair, P Punitha - IEEE Access, 2017 - ieeexplore.ieee.org
In this paper, we propose a novel method to identify the presence of malaria parasites in
human peripheral blood smear images using a deep belief network (DBN). This paper …
human peripheral blood smear images using a deep belief network (DBN). This paper …
Person reidentification using spatiotemporal appearance
N Gheissari, TB Sebastian… - 2006 IEEE computer …, 2006 - ieeexplore.ieee.org
In many surveillance applications it is desirable to determine if a given individual has been
previously observed over a network of cameras. This is the person reidentification problem …
previously observed over a network of cameras. This is the person reidentification problem …
Color invariants for person reidentification
We revisit the problem of specific object recognition using color distributions. In some
applications-such as specific person identification-it is highly likely that the color distributions …
applications-such as specific person identification-it is highly likely that the color distributions …
[BUCH][B] The art of feature engineering: essentials for machine learning
P Duboue - 2020 - books.google.com
When machine learning engineers work with data sets, they may find the results aren't as
good as they need. Instead of improving the model or collecting more data, they can use the …
good as they need. Instead of improving the model or collecting more data, they can use the …
The Bayesian image retrieval system, PicHunter: theory, implementation, and psychophysical experiments
Presents the theory, design principles, implementation and performance results of
PicHunter, a prototype content-based image retrieval (CBIR) system. In addition, this …
PicHunter, a prototype content-based image retrieval (CBIR) system. In addition, this …