Depth-based Descriptor for Matching Keypoints in 3D Scenes
Keypoint detection is a basic step in many computer vision algorithms aimed at recognition of objects, automatic navigation and analysis of biomedical images. Successful implementation of higher level image analysis tasks, however, is conditioned by reliable detection of characteristic image local r...
Main Authors: | Paweł Strumiłło, Karol Matusiak, Piotr Skulimowski |
---|---|
Format: | Article |
Language: | English |
Published: |
Polish Academy of Sciences
2018-08-01
|
Series: | International Journal of Electronics and Telecommunications |
Subjects: | |
Online Access: | https://journals.pan.pl/Content/107737/PDF/41_1451.pdf |
Similar Items
-
Unbiased evaluation of keypoint detectors with respect to rotation invariance
by: Karol Matusiak, et al.
Published: (2017-10-01) -
Local Feature Descriptor for Image Matching: A Survey
by: Chengcai Leng, et al.
Published: (2019-01-01) -
A DASKL Descriptor via Encoding the Information of Keypoints and a 3D Local Surface for 3D Matching
by: Yuanhao Wu, et al.
Published: (2022-07-01) -
Matching Algorithm for 3D Point Cloud Recognition and Registration Based on Multi-Statistics Histogram Descriptors
by: Jinlong Li, et al.
Published: (2022-01-01) -
Research on robot scene recognition based on improved feature point matching algorithm
by: Cui Yuxia, et al.
Published: (2022-01-01)