A review of recent advances in surface defect detection using texture analysis techniques
X Xie - ELCVIA: electronic letters on computer vision and …, 2008 - raco.cat
In this paper, we systematically review recent advances in surface inspection using
computer vision and image processing techniques, particularly those based on texture …
computer vision and image processing techniques, particularly those based on texture …
People reidentification in surveillance and forensics: A survey
The field of surveillance and forensics research is currently shifting focus and is now
showing an ever increasing interest in the task of people reidentification. This is the task of …
showing an ever increasing interest in the task of people reidentification. This is the task of …
View synthesis by appearance flow
We address the problem of novel view synthesis: given an input image, synthesizing new
images of the same object or scene observed from arbitrary viewpoints. We approach this as …
images of the same object or scene observed from arbitrary viewpoints. We approach this as …
Imagenet large scale visual recognition challenge
Abstract The ImageNet Large Scale Visual Recognition Challenge is a benchmark in object
category classification and detection on hundreds of object categories and millions of …
category classification and detection on hundreds of object categories and millions of …
[图书][B] Decision forests for computer vision and medical image analysis
A Criminisi, J Shotton - 2013 - books.google.com
Decision forests (also known as random forests) are an indispensable tool for automatic
image analysis. This practical and easy-to-follow text explores the theoretical underpinnings …
image analysis. This practical and easy-to-follow text explores the theoretical underpinnings …
Deforming autoencoders: Unsupervised disentangling of shape and appearance
In this work we introduce the Deforming Autoencoder, a generative model for images that
disentangles shape from appearance in a latent representation space that is learned in a …
disentangles shape from appearance in a latent representation space that is learned in a …
A visual vocabulary for flower classification
ME Nilsback, A Zisserman - 2006 IEEE computer society …, 2006 - ieeexplore.ieee.org
We investigate to what extent 'bag of visual words' models can be used to distinguish
categories which have significant visual similarity. To this end we develop and optimize a …
categories which have significant visual similarity. To this end we develop and optimize a …
Fields of experts: A framework for learning image priors
We develop a framework for learning generic, expressive image priors that capture the
statistics of natural scenes and can be used for a variety of machine vision tasks. The …
statistics of natural scenes and can be used for a variety of machine vision tasks. The …
Image segmentation evaluation: A survey of unsupervised methods
Image segmentation is an important processing step in many image, video and computer
vision applications. Extensive research has been done in creating many different …
vision applications. Extensive research has been done in creating many different …
Location recognition using prioritized feature matching
We present a fast, simple location recognition and image localization method that leverages
feature correspondence and geometry estimated from large Internet photo collections. Such …
feature correspondence and geometry estimated from large Internet photo collections. Such …