Automated 3D measurement with the DCS200 digital camera

1994 ◽  
Author(s):  
Frank A. Van den Heuvel
Keyword(s):  
Digital Camera ◽  
3D Measurement

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.

3D Modeling of Submarine Based on Digital Close Range Photogrammetry

2012 ◽  
Vol 256-259 ◽  
pp. 2324-2327
Author(s):  
Ying Jun Sun ◽  
Xin Guo Cui ◽  
Zun Yi Xu
Keyword(s):  
Control System ◽  
Active Control ◽  
Production Efficiency ◽  
Digital Camera ◽  
3D Measurement ◽  
Intersection Angle ◽  
Large Intersection ◽  
Close Range ◽  
Active Control System ◽  
Angle Of View

A new method to realize 3D measurement and modeling based on Active Control System was put forward in the paper. The Active Control System included two parts: one was for the calibration of digital camera, and the other was for the six-freedom control of digital camera. This method enlarged the intersection angle and improves the intersection precision by multi-baseline photography; enlarges the angle of view by panning photography, and resolves the difficulty of matching for images with large intersection angle. The experiments proved that this method can acquire the high accuracy and improves the production efficiency.

Digital Holographic PIV for 3D Flow Measurement

2002 ◽  
Author(s):  
Gang Pan ◽  
Hui Meng
Keyword(s):  
Flow Measurement ◽  
Digital Camera ◽  
Speckle Noise ◽  
3D Measurement ◽  
Depth Of Focus ◽  
3D Flow ◽  
Particle Field ◽  
Benchmark Experiment ◽  
Tracer Particles ◽  
Novel Complex

We have developed a simple digital holographic PIV system for 3D measurement of turbulent and multiphase flow. This system records in-line holograms of tracer particles directly on a digital camera and reconstructs the 3D particle field numerically. Using a novel complex amplitude-based method, we are able to overcome the depth of focus problem and the speckle noise problem associated with the low resolution of digital sensors and the in-line holographic setup. In this paper we will give detailed description of our system, and present the preliminary result of the benchmark experiment using a water jet.

scholarly journals An experiment of paved road surface 3D measurement using a consumer digital camera

2019 ◽  
Vol 58 (2) ◽  
pp. 50-55
Author(s):  
Hideaki MAEHARA ◽  
Ryoga SUZUKI ◽  
Kenji TAIRA ◽  
Yasuhiro KATO ◽  
Ryuichi IMAI
Keyword(s):  
Digital Camera ◽  
Road Surface ◽  
3D Measurement ◽  
Paved Road

Using a Digital Camera for Documentation

2002 ◽  
Vol 12 (4) ◽  
pp. 145-146
Author(s):  
Steven C. Chang
Keyword(s):  
Digital Camera

A testing paradigm for quantifying ICC profilers

2019 ◽  
Vol 2019 (1) ◽  
pp. 80-85
Author(s):  
Pooshpanjan Roy Biswas ◽  
Alessandro Beltrami ◽  
Joan Saez Gomez
Keyword(s):  
Digital Camera ◽  
Visual Assessment ◽  
Just Noticeable Difference ◽  
Color Management ◽  
Color Gamut ◽  
Gamut Mapping ◽  
Digital File ◽  
Mapping Process ◽  
Testing Paradigm

To reproduce colors in one system which differs from another system in terms of the color gamut, it is necessary to use a color gamut mapping process. This color gamut mapping is a method to translate a specific color from a medium (screen, digital camera, scanner, digital file, etc) into another system having a difference in gamut volume. There are different rendering intent options defined by the International Color Consortium [5] to use the different reproduction goals of the user [19]. Any rendering intent used to reproduce colors, includes profile engine decisions to do it, i.e. looking for color accuracy, vivid colors or pleasing reproduction of images. Using the same decisions on different profile engines, the final visual output can look different (more than one Just Noticeable Difference[16]) depending on the profile engine used and the color algorithms that they implement. Profile performance substantially depends on the profiler engine used to create them. Different profilers provide the user with varying levels of liberty to design a profile for their color management needs and preference. The motivation of this study is to rank the performance of various market leading profiler engines on the basis of different metrics designed specifically to report the performance of particular aspects of these profiles. The study helped us take valuable decisions regarding profile performance without any visual assessment to decide on the best profiler engine.

Counterfeit Parts Recognition and Detection for Failure Analysts

2010 ◽  
Author(s):  
Katherine V. Whittington
Keyword(s):  
Thermal Cycle ◽  
Visual Inspection ◽  
Acoustic Microscopy ◽  
Scanning Acoustic Microscopy ◽  
3D Measurement ◽  
X Ray ◽  
Wide Range ◽  
Electronic Parts ◽  
Testing Awareness

Abstract The electronics supply chain is being increasingly infiltrated by non-authentic, counterfeit electronic parts, whose use poses a great risk to the integrity and quality of critical hardware. There is a wide range of counterfeit parts such as leads and body molds. The failure analyst has many tools that can be used to investigate counterfeit parts. The key is to follow an investigative path that makes sense for each scenario. External visual inspection is called for whenever the source of supply is questionable. Other methods include use of solvents, 3D measurement, X-ray fluorescence, C-mode scanning acoustic microscopy, thermal cycle testing, burn-in technique, and electrical testing. Awareness, vigilance, and effective investigations are the best defense against the threat of counterfeit parts.

Automated 3D measurement of fiber cross section morphology in handsheets

2012 ◽  
Vol 27 (2) ◽  
pp. 264-269 ◽  
Author(s):  
Christian Lorbach ◽  
Ulrich Hirn ◽  
Johannes Kritzinger ◽  
Wolfgang Bauer
Keyword(s):  
Image Analysis ◽  
Cross Section ◽  
Cross Sections ◽  
Image Plane ◽  
3D Measurement ◽  
Cross Sectional ◽  
Fiber Cross Section ◽  
Fiber Wall ◽  
Sectional Shape ◽  
Cross Section Geometry

Abstract We present a method for 3D measurement of fiber cross sectional morphology from handsheets. An automated procedure is used to acquire 3D datasets of fiber cross sectional images using an automated microtome and light microscopy. The fiber cross section geometry is extracted using digital image analysis. Simple sample preparation and highly automated image acquisition and image analysis are providing an efficient tool to analyze large samples. It is demonstrated that if fibers are tilted towards the image plane the images of fiber cross sections are always larger than the true fiber cross section geometry. In our analysis the tilting angles of the fibers to the image plane are measured. The resulting fiber cross sectional images are distorted to compensate the error due to fiber tilt, restoring the true fiber cross sectional shape. We use an approximated correction, the paper provides error estimates of the approximation. Measurement results for fiber wall thickness, fiber coarseness and fiber collapse are presented for one hardwood and one softwood pulp.

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