Results 11 to 20 of about 5,959,177 (289)

DEEP LEARNING FOR LOWTEXTURED IMAGE MATCHING [PDF]

The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2018
Low-textured objects pose challenges for an automatic 3D model reconstruction. Such objects are common in archeological applications of photogrammetry. Most of the common feature point descriptors fail to match local patches in featureless regions of an ...
V. V. Kniaz, V. V. Kniaz, V. V. Fedorenko, N. A. Fomin   +3 more
doaj   +1 more source

FEATURE DESCRIPTOR BY CONVOLUTION AND POOLING AUTOENCODERS [PDF]

The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2015
In this paper we present several descriptors for feature-based matching based on autoencoders, and we evaluate the performance of these descriptors. In a training phase, we learn autoencoders from image patches extracted in local windows surrounding key ...
L. Chen, F. Rottensteiner, C. Heipke
doaj   +1 more source

RTV-SIFT: Harnessing Structure Information for Robust Optical and SAR Image Registration

Remote Sensing, 2023
Registration of optical and synthetic aperture radar (SAR) images is challenging because extracting located identically and unique features on both images are tricky. This paper proposes a novel optical and SAR image registration method based on relative
Siqi Pang, Junyao Ge, Lei Hu, Kaitai Guo, Yang Zheng, Changli Zheng, Wei Zhang, Jimin Liang   +7 more
doaj   +1 more source

Enhanced Feature Descriptor Based on Attention Mechanism [PDF]

Jisuanji gongcheng, 2021
When the traditional manual method is used to obtain the feature descriptors,it can not guarantee the correct matching of the feature points in the nonlinear deformation state,and can not solve the problem of feature description when the image has large ...
CHEN Jia, HU Haobo, HE Ruhan, HU Xinrong
doaj   +1 more source

KdO-Net: Towards Improving the Efficiency of Deep Convolutional Neural Networks Applied in the 3D Pairwise Point Feature Matching

Remote Sensing, 2022
In this work, we construct a Kd–Octree hybrid index structure to organize the point cloud and generate patch-based feature descriptors at its leaf nodes. We propose a simple yet effective convolutional neural network, termed KdO-Net, with Kd–Octree based
Rui Zhang, Guangyun Li, Wolfgang Wiedemann, Christoph Holst   +3 more
doaj   +1 more source

GACM: A Graph Attention Capsule Model for the Registration of TLS Point Clouds in the Urban Scene

Remote Sensing, 2021
Point cloud registration is the foundation and key step for many vital applications, such as digital city, autonomous driving, passive positioning, and navigation.
Jianjun Zou, Zhenxin Zhang, Dong Chen, Qinghua Li, Lan Sun, Ruofei Zhong, Liqiang Zhang, Jinghan Sha   +7 more
doaj   +1 more source

An Algorithm Based on a Feature Interaction-based Keypoint Detector and Sim-CSPNet for SAR Image Registration

Leida xuebao, 2022
Synthetic Aperture Radar (SAR) image registration has recently been one of the most challenging tasks because of speckle noise, geometric distortion and nonlinear radiation differences between SAR images.
Deliang XIANG, Yihao XU, Jianda CHENG, Canbin HU, Xiaokun SUN   +4 more
doaj   +1 more source

Hausdorff-Distance Enhanced Matching of Scale Invariant Feature Transform Descriptors in Context of Image Querying [PDF]

, 2012
Reliable and effective matching of visual descriptors is a key step for many vision applications, e.g. image retrieval. In this paper, we propose to integrate the Hausdorff distance matching together with our pairing algorithm, in order to obtain a ...
D. Wilson, Olszewska, Joanna Isabelle, Wilson, D., J.I. Olszewska   +3 more
core   +1 more source

Local Feature Discriminant Projection [PDF]

, 2016
In this paper, we propose a novel subspace learning algorithm called Local Feature Discriminant Projection (LFDP) for supervised dimensionality reduction of local features.
Zhen, Xiantong, Shao, Ling, He, Xiaofei, Yu, Mengyang   +3 more
core   +1 more source

Geometric feature distributions for shape representation and recognition. [PDF]

, 1994
One of the fundamental problems in computer vision is the identification of objects from their shape. The research reported in this thesis is directed toward the development of a scheme for representing the shape of an object which allows it to be ...
Evans, Alun C
core   +6 more sources