Close-range image stitching based on depth information and moving DLT

2019 ◽  
Author(s):  
Mowen Xue ◽  
Xudong Li ◽  
Hongzhi Jiang ◽  
Huijie Zhao
Keyword(s):  
Depth Information ◽  
Image Stitching ◽  
Range Image ◽  
Close Range

Laser Stereo Vision-Based Position and Attitude Detection of Non-Cooperative Target for Space Application

2014 ◽  
Vol 1039 ◽  
pp. 242-250
Author(s):  
Da Wei Tu ◽  
Xu Zhang ◽  
Kai Fei ◽  
Xi Zhang
Keyword(s):  
Measurement Range ◽  
Depth Information ◽  
Space Application ◽  
Lidar System ◽  
Vision Measurement ◽  
Triangulation Method ◽  
Novel Structure ◽  
Close Range ◽  
Attitude Detection ◽  
Very High

Vision measurement for non-cooperative targets in space is an essential technique in space counterwork, fragment disposal, satellite on-orbit service, spacecraft rendezvous, because the position and attitude of the target aircraft or the object should be detected first of all in the process. The 2D passive camera loses the depth information and can not measure the position and attitude of non-cooperative target. Several kinds of range imaging methods are alternatives. The traditional triangulation method can provide very high precision range measurement at close range but the nature of the triangulation geometry means that the uncertainty grows when the range increases. Laser radar (LIDAR) based on TOF (time of flight) or phase difference principle is suitable for middle and long range, but it can not fit for short range. A novel structure system is put forward, in which a so-called synchronous scanning triangulation method is adopted combining a LIDAR system. The synchronous scanning triangulation system plays a role at the range from 0.5m to 10m for object’s attitude, and the LIDAR system plays a role at the range from 10m to 200m for object’s position (direction and range).They are merged into one path, and do not influence each other because of using two different wavelengths respectively. This mechanism makes the system more compact and less weight. The system performances, such as the measurement range and precision, are analyzed according to the system parameters. The principle prototype is designed and established, and the experimental results confirm that its performance is promising and can satisfy the requirement for space application.

scholarly journals BUILDING FACADE MODELING UNDER LINE FEATURE CONSTRAINT BASED ON CLOSE-RANGE IMAGES

2018 ◽  
Vol XLII-3 ◽  
pp. 993-997
Author(s):  
Y. Liang ◽  
Y. H. Sheng
Keyword(s):  
Point Clouds ◽  
Image Sequence ◽  
Range Image ◽  
Range Images ◽  
Line Feature ◽  
Existing Problems ◽  
Building Facade ◽  
Dense Point ◽  
Close Range ◽  
Line Features

To solve existing problems in modeling facade of building merely with point feature based on close-range images , a new method for modeling building facade under line feature constraint is proposed in this paper. Firstly, Camera parameters and sparse spatial point clouds data were restored using the SFM , and 3D dense point clouds were generated with MVS; Secondly, the line features were detected based on the gradient direction , those detected line features were fit considering directions and lengths , then line features were matched under multiple types of constraints and extracted from multi-image sequence. At last, final facade mesh of a building was triangulated with point cloud and line features. The experiment shows that this method can effectively reconstruct the geometric facade of buildings using the advantages of combining point and line features of the close - range image sequence，especially in restoring the contour information of the facade of buildings.

ISPRS Commission V Symposium: Close Range Image Measurement Techniques

2011 ◽  
Vol 26 (136) ◽  
pp. 381-383
Author(s):  
Jon P. Mills ◽  
Derek D. Lichti ◽  
Norbert Pfeifer
Keyword(s):  
Measurement Techniques ◽  
Range Image ◽  
Image Measurement ◽  
Close Range

Facial Expression Analysis Using 3D Range Images

2016 ◽  
pp. 346-364
Author(s):  
Parama Bagchi ◽  
Debotosh Bhattacharjee ◽  
Mita Nasipuri
Keyword(s):  
Facial Expression ◽  
Detection System ◽  
Depth Image ◽  
Depth Information ◽  
Expression Recognition ◽  
Range Image ◽  
Range Images ◽  
Human Communication ◽  
Facial Expression Analysis ◽  
Facial Behavior

This proposed work deals with the uses and techniques of 3D range images for facial expression recognition. A 3D range image is basically a depth image (also called a 2.5D image), which contains depth information at each (x, y) pixel of the image. In the future, computer vision will become a part of our everyday life because of all of its extensive applications. Hence, the interactions between users and computers need to be more natural, and emphasizing as well as enumerating human-to-human communication to a larger extent. That is the reason why facial expressions find importance. Facial expression is an important factor of communication, and they reveal unknown facts about a person's feelings and emotions. There comes the need of a real facial expression detection system. Also, changes in expression are of great importance for the interpretation of human facial behavior as well as face recognition.

A New Method of Image Fusion for Close-range Image with Different Focuses

2009 ◽  
Vol 11 (5) ◽  
pp. 631-637
Author(s):  
Na REN ◽  
Xuejun LIU ◽  
Changqing ZHU
Keyword(s):  
Image Fusion ◽  
New Method ◽  
Range Image ◽  
Close Range

scholarly journals ACCURACY ANALYSIS OF MEASURING CLOSE-RANGE IMAGE POINTS USING MANUAL AND STEREO MODES

2013 ◽  
Vol 39 (1) ◽  
pp. 18-22 ◽  
Author(s):  
Jūratė Sužiedelytė-Visockienė
Keyword(s):  
3D Model ◽  
Digital Terrain Model ◽  
Image Point ◽  
Range Image ◽  
Control Points ◽  
Image Transformation ◽  
Terrain Model ◽  
Digital Terrain ◽  
Close Range ◽  
Manual Mode

The performed investigations are aimed at estimating the accuracy of image processing using different image point measurements. For this purpose, digital close-range images were processed applying photogrammetric software PhotoMod. The measurements have been made employing two methods: stereo and manual mode. Two or more overlapping images are matched when control and tie points are estimated. The images of two objects have been taken for experimental investigation. Control points and tie points were measured switching either to stereo or manual mode applying the required software. The control points of the first object are distributed on the surface of a smooth facade and on the surface of different (a few) levels. The process of image matching includes the calculation of the correlation coefficient, vertical parallax residuals and the root mean square of the object. Following image transformation (adjustment processes) to the created 3D model, the accuracy of the measured points is determined. All these values show the precision of close-range photogrammetric processes. Such accuracy satisfies requirements for creating a proper digital terrain model and orthophoto generation.

Multiple close-range image matching based on a self-adaptive triangle constraint

2010 ◽  
Vol 25 (132) ◽  
pp. 437-453 ◽  
Author(s):  
Qing Zhu ◽  
Yunsheng Zhang ◽  
Bo Wu ◽  
Yeting Zhang
Keyword(s):  
Image Matching ◽  
Range Image ◽  
Close Range ◽  
Self Adaptive
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