A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2020; you can also visit the original URL.
The file type is application/pdf
.
Filters
Multi Camera for Surveillance System Ground Detection and 3D Reconstruction
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
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]
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
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
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]
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]
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
LINE-BASED MULTI-IMAGE MATCHING FOR FAÇADE RECONSTRUCTION
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
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
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
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
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
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
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
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
« Previous
Showing results 1 — 15 out of 82,574 results