Sparse representation for computer vision and pattern recognition
Techniques from sparse signal representation are beginning to see significant impact in
computer vision, often on nontraditional applications where the goal is not just to obtain a …
computer vision, often on nontraditional applications where the goal is not just to obtain a …
An overview of edge and object contour detection
In computer vision, edge and object contour detection is essential for higher-level vision
tasks, such as shape matching, visual salience, image segmentation, and object recognition …
tasks, such as shape matching, visual salience, image segmentation, and object recognition …
Dense extreme inception network: Towards a robust cnn model for edge detection
This paper proposes a Deep Learning based edge detector, which is inspired on both HED
(Holistically-Nested Edge Detection) and Xception networks. The proposed approach …
(Holistically-Nested Edge Detection) and Xception networks. The proposed approach …
Fast edge detection using structured forests
P Dollár, CL Zitnick - IEEE transactions on pattern analysis and …, 2014 - ieeexplore.ieee.org
Edge detection is a critical component of many vision systems, including object detectors
and image segmentation algorithms. Patches of edges exhibit well-known forms of local …
and image segmentation algorithms. Patches of edges exhibit well-known forms of local …
Label consistent K-SVD: Learning a discriminative dictionary for recognition
A label consistent K-SVD (LC-KSVD) algorithm to learn a discriminative dictionary for sparse
coding is presented. In addition to using class labels of training data, we also associate label …
coding is presented. In addition to using class labels of training data, we also associate label …
Structured forests for fast edge detection
P Dollár, CL Zitnick - Proceedings of the IEEE international …, 2013 - openaccess.thecvf.com
Edge detection is a critical component of many vision systems, including object detectors
and image segmentation algorithms. Patches of edges exhibit well-known forms of local …
and image segmentation algorithms. Patches of edges exhibit well-known forms of local …
Semantic contours from inverse detectors
We study the challenging problem of localizing and classifying category-specific object
contours in real world images. For this purpose, we present a simple yet effective method for …
contours in real world images. For this purpose, we present a simple yet effective method for …
[图书][B] Sparse and redundant representations: from theory to applications in signal and image processing
M Elad - 2010 - books.google.com
A long long time ago, echoing philosophical and aesthetic principles that existed since
antiquity, William of Ockham enounced the principle of parsimony, better known today as …
antiquity, William of Ockham enounced the principle of parsimony, better known today as …
Contour detection and hierarchical image segmentation
This paper investigates two fundamental problems in computer vision: contour detection and
image segmentation. We present state-of-the-art algorithms for both of these tasks. Our …
image segmentation. We present state-of-the-art algorithms for both of these tasks. Our …
Sparse representation based fisher discrimination dictionary learning for image classification
The employed dictionary plays an important role in sparse representation or sparse coding
based image reconstruction and classification, while learning dictionaries from the training …
based image reconstruction and classification, while learning dictionaries from the training …