Results 41 to 50 of about 30,838 (137)
MREAK: Morphological Retina Keypoint Descriptor [PDF]
2019 International Conference of Artificial Intelligence and Information Technology (ICAIIT), 2019 A variety of computer vision applications depend on the efficiency of image matching algorithms used. Various descriptors are designed to detect and match features in images. Deployment of this algorithms in mobile applications creates a need for low computation time.
Vaghela, Himanshu +2 more
openaire +2 more sources
Comparison of 3D interest point detectors and descriptors for point cloud fusion [PDF]
ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2014 The extraction and description of keypoints as salient image parts has a long tradition within processing and analysis of 2D images. Nowadays, 3D data gains more and more importance.
R. Hänsch, T. Weber, O. Hellwich
doaj +1 more source
Recombinator Networks: Learning Coarse-to-Fine Feature Aggregation [PDF]
, 2016 Deep neural networks with alternating convolutional, max-pooling and decimation layers are widely used in state of the art architectures for computer vision.
Honari, Sina +3 more
core +1 more source
6-DoF Object Pose from Semantic Keypoints
, 2017 This paper presents a novel approach to estimating the continuous six degree of freedom (6-DoF) pose (3D translation and rotation) of an object from a single RGB image.
Chan, Aaron +4 more
core +1 more source
Human Pose Estimation using Deep Consensus Voting
, 2016 In this paper we consider the problem of human pose estimation from a single still image. We propose a novel approach where each location in the image votes for the position of each keypoint using a convolutional neural net.
DH Ballard +7 more
core +1 more source
AlgorithmsCervical cancer ranks among the leading causes of mortality in women worldwide, underscoring the critical need for early detection to ensure patient survival.
Jesus Eduardo Alcaraz-Chavez +3 more
doaj +1 more source
Improving "bag-of-keypoints" image categorisation: Generative Models and PDF-Kernels [PDF]
, 2005 In this paper we propose two distinct enhancements to the basic ''bag-of-keypoints" image categorisation scheme proposed in [4]. In this approach images are represented as a variable sized set of local image features (keypoints).
Farquhar, J +3 more
core
Appearance-based keypoint clustering [PDF]
2009 IEEE Conference on Computer Vision and Pattern Recognition, 2009 We present an algorithm for clustering sets of detected interest points into groups that correspond to visually distinct structure. Through the use of a suitable colour and texture representation, our clustering method is able to identify keypoints that belong to separate objects or background regions.
F.J. Estrada +3 more
openaire +1 more source
Automatic Determination of Quasicrystalline Patterns from Microscopy Images
Advanced Intelligent Discovery, EarlyView.This work introduces a user‐friendly machine learning tool to automatically extract and visualize quasicrystalline tiling patterns from atomically resolved microscopy images. It uses feature clustering, nearest‐neighbor analysis, and support vector machines. The method is broadly applicable to various quasicrystalline systems and is released as part of
Tano Kim Kender +2 more
wiley +1 more source
WarpNet: Weakly Supervised Matching for Single-view Reconstruction
, 2016 We present an approach to matching images of objects in fine-grained datasets without using part annotations, with an application to the challenging problem of weakly supervised single-view reconstruction.
Chandraker, Manmohan +2 more
core +1 more source