Results 31 to 40 of about 155,163 (283)
2.5D multi-view gait recognition based on point cloud registration [PDF]
, 2014 This paper presents a method for modeling a 2.5-dimensional (2.5D) human body and extracting the gait features for identifying the human subject.
Gao, Yan +3 more
core +2 more sources
3D point cloud lossy compression using quadric surfaces [PDF]
PeerJ Computer Science, 2021 The presence of 3D sensors in hand-held or head-mounted smart devices has motivated many researchers around the globe to devise algorithms to manage 3D point cloud data efficiently and economically. This paper presents a novel lossy compression technique
Ulfat Imdad +3 more
doaj +2 more sources
Fast Registration of Point Cloud Based on Custom Semantic Extraction
Sensors, 2022 With the increase in the amount of 3D point cloud data and the wide application of point cloud registration in various fields, the question of whether it is possible to quickly extract the key points of registration and perform accurate coarse ...
Jianing Wu +5 more
doaj +1 more source
Semantic-assisted 3D Normal Distributions Transform for scan registration in environments with limited structure [PDF]
, 2017 Point cloud registration is a core problem of many robotic applications, including simultaneous localization and mapping. The Normal Distributions Transform (NDT) is a method that fits a number of Gaussian distributions to the data points, and then uses ...
Cielniak, Grzegorz +3 more
core +1 more source
Point Cloud Registration using Representative Overlapping Points
, 2021 3D point cloud registration is a fundamental task in robotics and computer vision. Recently, many learning-based point cloud registration methods based on correspondences have emerged. However, these methods heavily rely on such correspondences and meet great challenges with partial overlap.
Zhu, Lifa +6 more
openaire +2 more sources
3D Convex Hull-Based Registration Method for Point Cloud Watermark Extraction
Sensors, 2019 Most 3D point cloud watermarking techniques apply Principal Component Analysis (PCA) to protect the watermark against affine transformation attacks. Unfortunately, they fail in the case of cropping and random point removal attacks.
Bogdan Lipuš, Borut Žalik
doaj +1 more source
Method to Automatically Register Scattered Point Clouds Based on Principal Pose Estimation [PDF]
, 2017 Three dimensional (3-D) modeling is important in applications ranging from manufacturing to entertainment. Multiview registration is one of the crucial steps in 3-D model construction.
Hitchens, C., Li, F., Stoddart, D.
core +1 more source
Genetic Algorithm-Based Optimization for Color Point Cloud Registration
Frontiers in Bioengineering and Biotechnology, 2022 Point cloud registration is an important technique for 3D environment map construction. Traditional point cloud registration algorithms rely on color features or geometric features, which leave problems such as color affected by environmental lighting ...
Dongsheng Liu +3 more
doaj +1 more source
Applied Sciences, 2022 As 3D acquisition equipment picks up steam, point cloud registration has been applied in ever-increasing fields. This paper provides an exhaustive survey of the field of point cloud registration for laser scanners and examines its application in large ...
Haiqing Si, Jingxuan Qiu, Yao Li
doaj +1 more source
A Stable and Accurate Marker-less Augmented Reality Registration Method [PDF]
, 2017 Markerless Augmented Reality (AR) registration using the standard Homography matrix is unstable, and for image-based registration it has very low accuracy.
Chen, L. +3 more
core +1 more source