759 research outputs found
Projector calibration method based on optical coaxial camera
This paper presents a novel method to accurately calibrate a DLP projector by using an optical coaxial camera to capture
the needed images. A plate beam splitter is used to make imaging axis of the CCD camera and projecting axis of the DLP
projector coaxial, so the DLP projector can be treated as a true inverse camera. A plate having discrete markers on the
surface will be designed and manufactured to calibrate the DLP projector. By projecting vertical and horizontal
sinusoidal fringe patterns on the plate surface from the projector, the absolute phase of each marker’s center can be
obtained. The corresponding projector pixel coordinate of each marker is determined from the obtained absolute phase.
The internal and external parameters of the DLP projector are calibrated by the corresponding point pair between the
projector coordinate and the world coordinate of discrete markers. Experimental results show that the proposed method
accurately obtains the parameters of the DLP projector. One advantage of the method is the calibrated internal and
external parameters have high accuracy because of uncalibrating the camera. The other is the optical coaxes geometry
gives a true inverse camera, so the calibrated parameters are more accurate than that of crossed-optical-axes, especially
the principal points and the radial distortion coefficients of the projector lens
Simultaneous Geometric and Radiometric Calibration of a Projector-Camera Pair
We present a novel method that allows for simultaneous geometric and radiometric calibration of a projector-camera pair. It is simple and does not require specialized hardware. We prewarp and align a specially designed projection pattern onto a printed pattern of different colorimetric properties. After capturing the patterns in several orientations, we perform geometric calibration by estimating the corner locations of the two patterns in different color channels. We perform radiometric calibration of the projector by using the information contained inside the projected squares. We show that our method performs on par with current approaches that all require separate geometric and radiometric calibration, while being more efficient and user friendly
Advances in Stereo Vision
Stereopsis is a vision process whose geometrical foundation has been known for a long time, ever since the experiments by Wheatstone, in the 19th century. Nevertheless, its inner workings in biological organisms, as well as its emulation by computer systems, have proven elusive, and stereo vision remains a very active and challenging area of research nowadays. In this volume we have attempted to present a limited but relevant sample of the work being carried out in stereo vision, covering significant aspects both from the applied and from the theoretical standpoints
View generated database
This document represents the final report for the View Generated Database (VGD) project, NAS7-1066. It documents the work done on the project up to the point at which all project work was terminated due to lack of project funds. The VGD was to provide the capability to accurately represent any real-world object or scene as a computer model. Such models include both an accurate spatial/geometric representation of surfaces of the object or scene, as well as any surface detail present on the object. Applications of such models are numerous, including acquisition and maintenance of work models for tele-autonomous systems, generation of accurate 3-D geometric/photometric models for various 3-D vision systems, and graphical models for realistic rendering of 3-D scenes via computer graphics
Progress in industrial photogrammetry by means of markerless solutions
174 p.La siguiente tesis está enfocada al desarrollo y uso avanzado de metodologÃas fotogramétrica sin dianas en aplicaciones industriales. La fotogrametrÃa es una técnica de medición óptica 3D que engloba múltiples configuraciones y aproximaciones. En este estudio se han desarrollado procedimientos de medición, modelos y estrategias de procesamiento de imagen que van más allá que la fotogrametrÃa convencional y buscan el emplear soluciones de otros campos de la visión artificial en aplicaciones industriales. Mientras que la fotogrametrÃa industrial requiere emplear dianas artificiales para definir los puntos o elementos de interés, esta tesis contempla la reducción e incluso la eliminación de las dianas tanto pasivas como activas como alternativas prácticas. La mayorÃa de los sistemas de medida utilizan las dianas tanto para definir los puntos de control, relacionar las distintas perspectivas, obtener precisión, asà como para automatizar las medidas. Aunque en muchas situaciones el empleo de dianas no sea restrictivo existen aplicaciones industriales donde su empleo condiciona y restringe considerablemente los procedimientos de medida empleados en la inspección. Un claro ejemplo es la verificación y control de calidad de piezas seriadas, o la medición y seguimiento de elementos prismáticos relacionados con un sistema de referencia determinado. Es en este punto donde la fotogrametrÃa sin dianas puede combinarse o complementarse con soluciones tradicionales para tratar de mejorar las prestaciones actuales
Automated calibration of multi-sensor optical shape measurement system
A multi-sensor optical shape measurement system (SMS) based on the fringe
projection method and temporal phase unwrapping has recently been commercialised
as a result of its easy implementation, computer control using a spatial light
modulator, and fast full-field measurement. The main advantage of a multi-sensor
SMS is the ability to make measurements for 360° coverage without the requirement
for mounting the measured component on translation and/or rotation stages. However,
for greater acceptance in industry, issues relating to a user-friendly calibration of the
multi-sensor SMS in an industrial environment for presentation of the measured data
in a single coordinate system need to be addressed.
The calibration of multi-sensor SMSs typically requires a calibration artefact, which
consequently leads to significant user input for the processing of calibration data, in
order to obtain the respective sensor's optimal imaging geometry parameters. The
imaging geometry parameters provide a mapping from the acquired shape data to real
world Cartesian coordinates. However, the process of obtaining optimal sensor
imaging geometry parameters (which involves a nonlinear numerical optimization
process known as bundle adjustment), requires labelling regions within each point
cloud as belonging to known features of the calibration artefact. This thesis describes
an automated calibration procedure which ensures that calibration data is processed
through automated feature detection of the calibration artefact, artefact pose
estimation, automated control point selection, and finally bundle adjustment itself. [Continues.
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