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Multi Camera for Surveillance System Ground Detection and 3D Reconstruction

Xu Yongzhe, Byungsoo Lee
2015 International Journal of Smart Home  
Researcher focus on 3D recognize and matching algorithm. 1 st surveillance camera system detection ground mark image. 2 nd matching image pattern and compute mark image coordinate information, 3 rd compute  ...  reconstruction is rebuilding 3D geometric from multi 2d images.  ...  Acknowledgements This paper is a revised and expanded version of a paper entitled "Multi Camera Surveillance System for Ground Detection" presented at "XU YONGZHE", Hochiminh, Vietnam on October 24-26,  ... 
doi:10.14257/ijsh.2015.9.1.11 fatcat:46uqzgsi5rfbzc3xwrybih7fxq

Error Evaluation in a Stereovision-Based 3D Reconstruction System

Abdelkrim Belhaoua, Sophie Kohler, Ernest Hirsch
2010 EURASIP Journal on Image and Video Processing  
The work presented in this paper deals with the performance analysis of the whole 3D reconstruction process of imaged objects, specifically of the set of geometric primitives describing their outline and  ...  The fitting parameters describing the geometric features composing the workpiece to be evaluated are used as quality measures to determine error bounds and finally to estimate the edge detection errors  ...  These pairs of features are the input data for the matching and the reconstruction step.  ... 
doi:10.1155/2010/539836 fatcat:3tqennq6crgaho62f525tshqby

SeFM: A Sequential Feature Point Matching Algorithm for Object 3D Reconstruction [article]

Zhihao Fang, He Ma, Xuemin Zhu, Xutao Guo, Ruixin Zhou
2019 arXiv   pre-print
3D reconstruction is a fundamental issue in many applications and the feature point matching problem is a key step while reconstructing target objects.  ...  Conventional algorithms can only find a small number of feature points from two images which is quite insufficient for reconstruction.  ...  All the above mentioned methods can be used to reconstruct the 3D model of a target object.  ... 
arXiv:1812.02925v3 fatcat:rhl4h2ivpzdkfiboojegomthhm

Using Bilateral Symmetry to Improve 3D Reconstruction from Image Sequences

Hagit Zabrodsky, Daphna Weinshall
1997 Computer Vision and Image Understanding  
In previous applications, bilateral symmetry of objects was used either as a descriptive feature in domains such as recognition and grasping, or as a way to reduce the complexity of structure from motion  ...  In this paper we demonstrate how bilateral symmetry can be used to improve the accuracy in 3D reconstruction. The symmetry property is used to \symmetrize" data before and after reconstruction.  ...  Symmetrical descriptions and symmetric features of objects are useful in guiding shape matching, model-based object matching and object recognition 8, 12] .  ... 
doi:10.1006/cviu.1996.0506 fatcat:yg4u7yz5bncera5tvhdpgni7ta

Sculpture 3D Modeling Method Based on Image Sequence

Xiaofei Liu
2021 Complexity  
feature point calibration required in three-dimensional motion and structure estimation.  ...  Aiming at the monocular video image sequence obtained by only one camera, this paper introduces the 3D model of the sculpture building into the pose tracking framework to provide initial depth information  ...  point, and vanishing line in the scene and realize the 3D reconstruction of the object in an interactive manner.  ... 
doi:10.1155/2021/9916725 doaj:69999d1e37274c55964dbecbe690555f fatcat:coxfrtoy6jhkva645iv64e7h2q

3D Line Segment Based Model Generation by RGB-D Camera for Camera Pose Estimation [chapter]

Yusuke Nakayama, Hideo Saito, Masayoshi Shimizu, Nobuyasu Yamaguchi
2015 Lecture Notes in Computer Science  
While point features are mostly used as such features for conventional camera pose estimation, we aim to use line segment features for improving the performance of the camera pose estimation.  ...  In this method, using RGB images and depth images of two continuous frames, 2D line segments from the current frame and 3D line segments from the previous frame are corresponded.  ...  The reconstructed object shape represented by point clouds. Fig. 11 . The 3D line segment based model using SIFT feature point matching.  ... 
doi:10.1007/978-3-319-16634-6_34 fatcat:njepy2yapvdv5dvimfngfauc5y

Reconstruction of 3D Models Consisting of Line Segments [chapter]

Naoto Ienaga, Hideo Saito
2017 Lecture Notes in Computer Science  
We apply matching and depth information to remove redundant line segments from the model while keeping the necessary segments.  ...  In this paper, we propose a method to recover 3D models using the minimum number of line segments.  ...  This work was partially supported by MEXT/JSPS Grant-in-Aid for Scientific Research(S) 24220004, and JST CREST "Intelligent Information Processing Systems Creating Co-Experience Knowledge and Wisdom with  ... 
doi:10.1007/978-3-319-54427-4_8 fatcat:szpmexglkncmvmo2x4ehxa4xvi


T. A. Teo, C. H. Kao
2012 The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences  
Then, tie points and control points are combined for block adjustment. An object-based multi-images matching is proposed to extract the façade structural lines.  ...  It also indicates that line-based matching is more flexible than point-based matching.  ...  A 3D line can be reconstructed by 3D endpoints. Multiple image matching is a time consuming process.  ... 
doi:10.5194/isprsarchives-xxxix-b3-63-2012 fatcat:7sp4edrzafhhfdbcjql4ma3ika

When 3D Reconstruction Meets Ubiquitous RGB-D Images

Quanshi Zhang, Xuan Song, Xiaowei Shao, Huijing Zhao, Ryosuke Shibasaki
2014 2014 IEEE Conference on Computer Vision and Pattern Recognition  
3D reconstruction from a single image is a classical problem in computer vision. However, it still poses great challenges for the reconstruction of daily-use objects with irregular 1 shapes.  ...  The category model estimates the pixellevel 3D structure of an object from its 2D appearance, by taking into account considerable variations in rotation, 3D structure, and texture.  ...  F p st (·) uses the point feature θ p,(i) st in object sample i to estimate 3D coordinates of p, thus overcoming i's specific object rotations, structure deformation, and depth errors.  ... 
doi:10.1109/cvpr.2014.95 dblp:conf/cvpr/ZhangSSZS14 fatcat:7a4ofyaqufeehbubjmgw33ezjm

3D Reconstruction and 3D Point Cloud Compression

Mao QIN, Wei-qin ZHANG
2017 DEStech Transactions on Computer Science and Engineering  
Based on the introduction of the basic principle of 3D reconstruction, this paper presents a simple and easy implementation process of 3D reconstruction, and focuses on the key technologies of point cloud  ...  3D reconstruction and 3D Point Cloud Compression of image sequences is an important application in computer graphics and image processing, especially in biomedical engineering.  ...  Feature Points Detection and Matching Feature matching is to find the same point in the space in the image corresponding to the projection point, commonly used gray based matching method and feature-based  ... 
doi:10.12783/dtcse/smce2017/12426 fatcat:tvl7z6s62zdznccrkj3hd7kkaq

Automatic monitoring and 3D reconstruction applied to cultural heritage

Federico Pedersini, Augusto Sarti, Stefano Tubaro
2000 Journal of Cultural Heritage  
In this article we present our global approach to the problem of accurate 3D measurement and reconstruction of 3D works of art using a calibrated multi-camera system.  ...  We also propose a general and robust approach to the problem of close-range partial 3D reconstruction of objects from stereo-correspondences.  ...  Image features that are most often used for 3D reconstruction are points, luminance edges, and luminance patches. These two types of features tend to provide information of a different nature.  ... 
doi:10.1016/s1296-2074(00)01082-7 fatcat:bcqelybf6ja6xeedgtgdlg3kyi

Image Based 3D Reconstruction of Texture-less Objects for VR Contents

Jahanzeb Hafeez, Seunghyun Lee, Soonchul Kwon, Alaric Hamacher
2017 International journal of advanced smart convergence  
In this paper we propose a system to reconstruct three-dimensional models of real objects from the set of two-dimensional images under the assumption that the subject does not has distinct features.  ...  Using best pattern found after the experiments, 3D model of the Pyeongchang Olympic Mascot "Soohorang" is created to use as VR content  ...  After that, the matched features are traced through all the overlapping images and used as tie points which generate a point cloud relative to the position and orientation of the points.  ... 
doi:10.7236/ijasc.2017.6.1.9 fatcat:5piemocanvaztdw476jj4q7yci

Optimization of Stereo Matching in 3D Reconstruction Based on Binocular Vision

Qiyang Gai
2018 Journal of Physics, Conference Series  
By using the line constraint to reduce the search range, an ant colony algorithm is used to optimize the stereo matching feature search function in the proposed search range.  ...  Stereo matching is one of the key steps of 3D reconstruction based on binocular vision.  ...  line pole sets PLi of the left image and the ith line pole sets PRi of the right image, the pole set ,which has less pole points, is used as the, and the other pole set is the search point set. 0 ij  ... 
doi:10.1088/1742-6596/960/1/012029 fatcat:vc52oxzlkjadvhlrer2gnvobgq

Linear Correction and Matching Method for 3D Line Structure Reconstruction

Di Jia, Yuxiu Li, Si Wu, Ying Liu
2020 Mathematical Problems in Engineering  
Finally, the point feature matching result is used to calculate the polar line, and the line matching results of the adjacent three images are used to determine the final partial check feature area.  ...  The 3D reconstruction technique using the straight-line segments as features has high precision and low computational cost. The method is especially suitable for large-scale urban datasets.  ...  good choice to complete the feature extraction and matching using the straight-line segment feature.  ... 
doi:10.1155/2020/3597397 fatcat:rvnj7q4q2vainheqmx2mjx5y5y

Multi-View Edge-based Stereo by Incorporating Spatial Coherence

Gang Li, Yakup Genc, Steven W. Zucker
2007 3-D Digital Imaging and Modeling  
The success of the edge-based reconstruction heavily depends on the amount of the prior information used.  ...  Feature-based stereo algorithms, in particular, edgebased methods, are better suited for these scenes.  ...  We then interpolate these points to lines and compare with our reconstruction result.  ... 
doi:10.1109/3dim.2007.35 dblp:conf/3dim/LiGZ07 fatcat:wyw77skknzclvf2c4ab6sqt5o4
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