Search · four archives
Search · four archives
14 papers · ranked by Valyu relevance
Ruiping Wang, Liangcai Zeng, Shiqian Wu, Wei Cao + 1 more
Feature point detection is the basis of computer vision, and the detection methods with geometric invariance and illumination invariance are the key and difficult problem in the field of feature detection. This paper proposes an illumination-invariant feature point detection method based on neighborhood information.…
Hong-an Li, Yongxin Zhang, Zhanli Li, Huilin Li
It is an important task to locate facial feature points due to the widespread application of 3D human face models in medical fields. In this paper, we propose a 3D facial feature point localization method that combines the relative angle histograms with multiscale constraints. Firstly, the relative angle histogram of…
Fei Wang, Zhendong Liu, Hongchun Zhu, Pengda Wu + 2 more
'Felipe Gonzalez Toro'] Feature matching plays a crucial role in the process of 3D reconstruction based on the structure from motion (SfM) technique. For a large collection of oblique images, feature matching is one of the most time-consuming steps, and the matching result directly affects the accuracy of subsequent…
Ying Zuo, Hongliang Guan, Fuzhou Duan, Tingsong Wu + 1 more
Most of the traditional image feature point extraction and matching methods are based on a series of light properties of images. These light properties easily conflict with the distinguishability of the image features. The traditional light imaging methods focus only on a fixed depth of the target scene, and subjects…
Fei Zhou, Limin Zhang, Chaolong Deng, Xinyue Fan + 1 more
Traditional visual simultaneous localization and mapping (SLAM) systems rely on point features to estimate camera trajectories. However, feature-based systems are usually not robust in complex environments such as weak textures or obvious brightness changes. To solve this problem, we used more environmental structure…
Guoming Chu, Yan Peng, Xuhong Luo, Muhammad Shahid Farid
Simultaneous Localization and Mapping (SLAM) technology is crucial for achieving spatial localization and autonomous navigation. Finding image features that are representative presents a key challenge in visual SLAM systems. The widely used ORB (Oriented FAST and Rotating BRIEF) algorithm achieves rapid image feature…
Seyed Mostafa Mousavi Kahaki, Md Jan Nordin, Amir H. Ashtari, Sophia J. Zahra + 1 more
'Sophia J. Zahra' 'Jesus Malo'] An invariant feature matching method is proposed as a spatially invariant feature matching approach. Deformation effects, such as affine and homography, change the local information within the image and can result in ambiguous local information pertaining to image points. New method…
Zimei Tu, Yichen Xie, Jinhua Jiang, Qin Qin
This study introduces an innovative feature point extraction method combined with an improved Grey Wolf Optimizer (GWO)-based coarse registration approach to address common challenges of low registration accuracy and slow processing speed in point cloud registration. The feature extraction design method begins by…
Yan Lu, Kun Gao, Tinghua Zhang, Tingfa Xu + 1 more
Image registration is widely used in many fields, but the adaptability of the existing methods is limited. This work proposes a novel image registration method with high precision for various complex applications. In this framework, the registration problem is divided into two stages. First, we detect and describe…
Seyed M. M. Kahaki, Haslina Arshad, Md Jan Nordin, Waidah Ismail + 1 more
'Daniel Capella Zanotta'] Image registration of remotely sensed imagery is challenging, as complex deformations are common. Different deformations, such as affine and homogenous transformation, combined with multimodal data capturing can emerge in the data acquisition process. These effects, when combined, tend to…
Jaewook Jung, Gunho Sohn, Kiin Bang, Andreas Wichmann + 3 more
'Costas Armenakis' 'Martin Kada' 'Assefa M. Melesse'] A city is a dynamic entity, which environment is continuously changing over time. Accordingly, its virtual city models also need to be regularly updated to support accurate model-based decisions for various applications, including urban planning, emergency response…
Jun Lu, Zhuo Wang, Bowen Hua, Kun Chen + 1 more
In this paper, we present an efficient algorithm for point cloud registration in presence of low overlap rate and high noise. The proposed registration method mainly includes four parts: the loop voxel filtering, the curvature-based key point selection, the robust geometric descriptor, and the determining and…
Chenyang Zhang, Yunfei Xiang, Qiyuan Wang, Shuo Gu + 3 more
'Rongchun Zhang' 'Richard J. Povinelli'] Line feature matching is a crucial aspect of computer vision and image processing tasks, attracting significant research attention. Most line matching algorithms predominantly rely on local feature descriptors or deep learning modules, which often suffer from low robustness and…
Andrea Masiero, Antonio Vettore, Felipe Gonzalez Toro
Thanks to the recent diffusion of low-cost high-resolution digital cameras and to the development of mostly automated procedures for image-based 3D reconstruction, the popularity of photogrammetry for environment surveys is constantly increasing in the last years. Automatic feature matching is an important step in…