A survey of recent advances in visual feature detection
Feature detection is a fundamental and important problem in computer vision and image
processing. It is a low-level processing step which serves as the essential part for computer …
processing. It is a low-level processing step which serves as the essential part for computer …
Image feature information extraction for interest point detection: A comprehensive review
Interest point detection is one of the most fundamental and critical problems in computer
vision and image processing. In this paper, we carry out a comprehensive review on image …
vision and image processing. In this paper, we carry out a comprehensive review on image …
Image intensity variation information for interest point detection
Interest point detection methods are gaining more attention and are widely applied in
computer vision tasks such as image retrieval and 3D reconstruction. However, there still …
computer vision tasks such as image retrieval and 3D reconstruction. However, there still …
Multi-scale adaptive feature fusion network for semantic segmentation in remote sensing images
Semantic segmentation of high-resolution remote sensing images is highly challenging due
to the presence of a complicated background, irregular target shapes, and similarities in the …
to the presence of a complicated background, irregular target shapes, and similarities in the …
Edge detection using fast pixel based matching and contours mapping algorithms
Current methods of edge identification were constrained by issues like lighting changes,
position disparity, colour changes, and gesture variability, among others. The …
position disparity, colour changes, and gesture variability, among others. The …
Multi-dimensional traffic congestion detection based on fusion of visual features and convolutional neural network
X Ke, L Shi, W Guo, D Chen - IEEE Transactions on Intelligent …, 2018 - ieeexplore.ieee.org
In intelligent transportation systems, there are many tasks that rely on the detection of road
congestion, such as traffic signal scheduling and traffic accident detection. As traditional …
congestion, such as traffic signal scheduling and traffic accident detection. As traditional …
DIResUNet: Architecture for multiclass semantic segmentation of high resolution remote sensing imagery data
Scene understanding is an important task in information extraction from high-resolution
aerial images, an operation which is often involved in remote sensing applications …
aerial images, an operation which is often involved in remote sensing applications …
Corner detection using multi-directional structure tensor with multiple scales
Corners are important features for image analysis and computer vision tasks. Local structure
tensors with multiple scales are widely used in intensity-based corner detectors. In this …
tensors with multiple scales are widely used in intensity-based corner detectors. In this …
Noise robust image edge detection based upon the automatic anisotropic Gaussian kernels
This paper presents a novel noise robust edge detector based upon the automatic
anisotropic Gaussian kernels (ANGKs), which also addresses the current problem that the …
anisotropic Gaussian kernels (ANGKs), which also addresses the current problem that the …
ECFRNet: Effective corner feature representations network for image corner detection
Interest points (corners and blobs) play an important role in computer vision tasks such as
image matching, image retrieval, and 3D reconstruction. Existing deep learning based …
image matching, image retrieval, and 3D reconstruction. Existing deep learning based …