Alternative to the epipolar line method for automatic target matching in multiple images 3D measurement

1994 ◽  
Author(s):  
Jin Chen ◽  
Timothy A. Clarke ◽  
Stuart Robson
Keyword(s):  
3D Measurement ◽  
Epipolar Line ◽  
Multiple Images ◽  
Line Method ◽  
Target Matching

Multi-perspective measurement of yarn hairiness using mirrored images

2016 ◽  
Vol 88 (6) ◽  
pp. 621-629 ◽  
Author(s):  
Lei Wang ◽  
Bugao Xu ◽  
Weidong Gao
Keyword(s):  
3D Model ◽  
Three Dimensional ◽  
Digital Camera ◽  
3D Measurement ◽  
Multiple Perspectives ◽  
Multiple Images ◽  
Image Processing Techniques ◽  
Yarn Hairiness ◽  
Processing Techniques ◽  
Planar Mirrors

Most photoelectric and imaging methods for yarn hairiness measurements often provide underestimated data of hairy fibers measured from light projection, which ignores the spatial orientations and shapes of protruding fibers. In this project, a three-dimensional (3D) system was developed to detect hairy fibers from multiple perspectives and to reconstruct a 3D model for the yarn that permits fibers to be traced spatially. The system utilized two angled planar mirrors to view a yarn from five different perspectives simultaneously, and a digital camera to capture the multiple images in one panoramic picture. The image-processing techniques were used to dissect the panoramic picture into five sub-images containing separate views of the yarn, and to segment the sub-images to obtain yarn silhouettes showing the edges of the yarn and hairy fibers. A 3D model of the yarn could be built by merging the five silhouettes with the angles defined by the scene geometry of the dual mirrors. From the 3D model, hairy fibers protruding from the yarn core could be traced in the space for accurate length measurements. The system represents a simple and practical solution for the 3D measurement of yarn hairiness.

CIRCULAR CODED TARGET FOR AUTOMATION OF OPTICAL 3D-MEASUREMENT AND CAMERA CALIBRATION

2001 ◽  
Vol 15 (06) ◽  
pp. 905-919 ◽  
Author(s):  
SUNG JOON AHN ◽  
WOLFGANG RAUH ◽  
SUNG IL KIM
Keyword(s):  
Image Processing ◽  
Camera Calibration ◽  
Measurement Techniques ◽  
Processing Method ◽  
Image Point ◽  
Correspondence Problem ◽  
3D Measurement ◽  
Multiple Images ◽  
3D Measurement System ◽  
Topical Interest

One of the primary, but tedious, tasks for the user and developer of an optical 3D-measurement system is to find the homologous image points in multiple images, a task that is frequently referred to as the correspondence problem. Along with the solution, error-free correspondence and accurate measurement of image points are of great importance, on which the qualitative results of succeeding camera calibration and 3D-measurements are immediately dependent. In fact, the automation of measurement processes is getting more important with progresses in production, and hence, is of increasing topical interest. In this paper, we present a circular coded target for automatic image point measurement and identification. The applied image processing method will be described in detail, and we will show some application examples of the circular coded target to optical 3D-measurement techniques.

scholarly journals Automatic target matching

2021 ◽  
Author(s):  
Michael Leslar
Keyword(s):  
Least Squares ◽  
Cross Correlation ◽  
Target Location ◽  
Stereo Pair ◽  
Epipolar Line ◽  
Black And White ◽  
Working Together ◽  
The Right ◽  
Correct Target ◽  
Target Matching

Many photogrametric processes require a large number of points to be collected from numerous digital images. It is imperative that these points be collected accurately, so that precise real-world coordinates may be assigned to points captured in the image. To this end, many techniques have been developed to locate, track and identify image targets. This thesis outlines many of these techniques and presents a target matching solution that has been developed in C++, for the subpixel target location program INDMET . The target matching solution is composed of three elements: an epipolar line program, a cross correlation program and a template least squares matching program. The epipolar line program is used to limit the search area in the right image of a given stereo pair, to the vicinity of a single line. The cross correlation program searches this line to locate possible targets and the template least squares matching program is used to determine the target centre of a black and white image target, once it has been located. It was found that these three programs, working together, had between a 20 and 70 percent chance of locating the correct target, depending on the similarity of elliptical targets in each image. Once found, the program could calculate the target centre to an accuracy of approximately 1/10th of a pixel.

scholarly journals Automatic target matching

2021 ◽  
Author(s):  
Michael Leslar
Keyword(s):  
Least Squares ◽  
Cross Correlation ◽  
Target Location ◽  
Stereo Pair ◽  
Epipolar Line ◽  
Black And White ◽  
Working Together ◽  
The Right ◽  
Correct Target ◽  
Target Matching

Many photogrametric processes require a large number of points to be collected from numerous digital images. It is imperative that these points be collected accurately, so that precise real-world coordinates may be assigned to points captured in the image. To this end, many techniques have been developed to locate, track and identify image targets. This thesis outlines many of these techniques and presents a target matching solution that has been developed in C++, for the subpixel target location program INDMET . The target matching solution is composed of three elements: an epipolar line program, a cross correlation program and a template least squares matching program. The epipolar line program is used to limit the search area in the right image of a given stereo pair, to the vicinity of a single line. The cross correlation program searches this line to locate possible targets and the template least squares matching program is used to determine the target centre of a black and white image target, once it has been located. It was found that these three programs, working together, had between a 20 and 70 percent chance of locating the correct target, depending on the similarity of elliptical targets in each image. Once found, the program could calculate the target centre to an accuracy of approximately 1/10th of a pixel.

Stereo modeling of HVEM specimens by serial tilting and computer graphics

1986 ◽  
Vol 44 ◽  
pp. 34-35
Author(s):  
J.R. McIntosh ◽  
D.L. Stemple ◽  
William Bishop ◽  
G.W. Hannaway
Keyword(s):  
Computer Graphics ◽  
Analytical Methods ◽  
Photographic Film ◽  
Complex Structures ◽  
Multiple Objects ◽  
Multiple Images ◽  
3 Dimensional

EM specimens often contain 3-dimensional information that is lost during micrography on a single photographic film. Two images of one specimen at appropriate orientations give a stereo view, but complex structures composed of multiple objects of graded density that superimpose in each projection are often difficult to decipher in stereo. Several analytical methods for 3-D reconstruction from multiple images of a serially tilted specimen are available, but they are all time-consuming and computationally intense.

A New Detector System For The HB5 Stem Instrument

1985 ◽  
Vol 43 ◽  
pp. 134-135
Author(s):  
J.M. Cowley
Keyword(s):  
Dark Field ◽  
Detector System ◽  
Electron Holography ◽  
Small Specimen ◽  
Bright Field ◽  
Multiple Images ◽  
Practical Applications ◽  
Wide Range ◽  
Diffraction Patterns ◽  
Operational Modes

The HB5 STEM instrument at ASU has been modified previously to include an efficient two-dimensional detector incorporating an optical analyser device and also a digital system for the recording of multiple images. The detector system was built to explore a wide range of possibilities including in-line electron holography, the observation and recording of diffraction patterns from very small specimen regions (having diameters as small as 3Å) and the formation of both bright field and dark field images by detection of various portions of the diffraction pattern. Experience in the use of this system has shown that sane of its capabilities are unique and valuable. For other purposes it appears that, while the principles of the operational modes may be verified, the practical applications are limited by the details of the initial design.

IMAJINASI KE IMAJINASI VISUAL FOTOGRAFI

2017 ◽  
Vol 12 (2) ◽  
pp. 91
Author(s):  
Edial Rusli
Keyword(s):  
Creative Process ◽  
Single Unit ◽  
Digital Images ◽  
Visual Image ◽  
Construction Process ◽  
Multiple Images ◽  
Artistic Process ◽  
Visual Imagination ◽  
Human Thought ◽  
The Media

AbstrakImaji visual fotografi merupakan media rekam visual yang objektif dan representatifkebenarannya dalam merekam suatu realitas. Revolusi teknologi menyebabkan perubahandari teknologi fotografi analog sebagai salah satu media yang menyatakan kebenaran ataubukti dan sebagai media yang representatif kebenarannya ke teknologi digital yang dapatmemungkinkan untuk merekayasa gambar digital melalui perangkat lunak. Teknologi digitaltelah menjadikan kebenaran dalam sebuah foto tidak lagi absolut. Akhirnya fotografi sebagaialat perekam imaji yang representatif kebenarannya semakin diragukan. Karena semakin sulituntuk membedakan foto asli atau palsu, bahkan sebuah foto asli bisa saja dikatakan sebagaihasil manipulasi. Penciptaan imajinasi visual fotografi ini dihasilkan dari suatu olah daya pikirmanusia. Dalam proses tersebut dibutuhkan suatu kreativitas dari penggabungan imaji-imajisebelumnya atau sekarang ini untuk diimajinasikan. Pemaknaan akan bergeser dari imaji visualfotografi menjadi imaji visual fotografi yang baru. Proses artistik imajinasi visual ini diciptakandengan didasarkan pada artistik yang berdasarkan imajinasi, artistik berdasarkan imajinasi danartistik didasarkan pada kombinasi antara kenyataan dan imajinasi. Penciptaan Imajinasi visualfotografi merupakan daya untuk mengonstruksi ataau menggabungkan kembali dari berbagaiimaji-imaji atau foto- secara imajinatif dan kreatif dengan persepsi yang menyertainya untukmenjadi imaji baru yang utuh, logis, dan mungkin terjadi dengan menggunakan teknik danefek fotografi. Proses mengonstruksi membutuhkan suatu kemampuan berimajinasi untukmenggabungkan dan menyatukannya untuk menjadi satu kesatuan (unity) yang utuh dalam satupermukaan gambar/imaji secara ekspresif dan imajinatif melalui proses estetis yang kreatifberdasarkan ciri personal penciptanya. Dengan demikian, hasil dari proses konstruksi tersebutsudah tidak tampak lagi imaji sebelumnya dan pemaknaannya sudah bergeser menjadi karyaimaji dengan pemaknaan baru.AbstractImage to Photography Visual Imagination. Visual image of photography is a visual recordingmedia which is objective and representative in revealing the truth when recording a reality. Thetechnology revolution led to the change in photography, from analog photographic technologyas one of the media for promoting truth or evidence and as media representing truth to thedigital technology which allow people to manipulate digital images through software. Digitaltechnology has made the truth in a photograph is no longer absolute. In the end, photographyas an images recording tool representing truth is doubted. It is getting harder and moredifficult to distinguish the original or fake photo, even an original photo can be said as aresult of manipulation.The creation of visual imagination photography is produced by thepower of human thought. The process requires a creativity of merging the previous or recentimages to imagine. The meanings will be shifted from visual image photography into a newvisual image photography. Visual imagination of the artistic process is created on the basisof artistic imagination, artistic imagination and artistic are based on a combination of realityand imagination.The creation of visual photography imagination is a power to construct orrecombine from multiple images or pictures imaginatively and creatively with the perceptionto be a whole new image, logical, and may occur with the use of techniques and photographiceffects. The process of constructing requires an ability of imagining to combine and unitethem into a single unit as a unity which is intact on s single surface of the picture/image,expressively and imaginatively through an aesthetic creative process based on the personalcharacteristics of the creator. By doing so, the construction process will no longer visible onthe former image and the meaning will shift into an image with a new meaning.

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