A Three-dimensional Camera: Development and Applications of a Three-dimensional Image Measurement System

Lu, Cunwei; Kamitomo, Hiroya; Sun, Ke; Tsujino, Katsuhiko; Cho, Genki

doi:10.1541/ieejeiss.131.320

Cited by 3 publications

(1 citation statement)

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“…The improvement of the theoretical methods for practical application of threedimensional image measurement technologies has been studied. Methods of threedimensional image measurement can be roughly divided into active and passive methods [1]. Passive measurement methods, such as stereovision, using two cameras are suitable for measuring object contours, but are difficult to be applied to the measurement of full object surfaces or to the surface measurement of largely featureless objects.…”

Section: Introductionmentioning

confidence: 99%

Three-Dimensional Image Measurement by Pattern Projection Using a Single Observation Image

Sun

2015

Cybernetics and Information Technologies

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Since three-dimensional image measurement allows object surface shapes and dimensions to be obtained quickly and without any contact, it has recently been intensively studied in a wide range of fields, including industry, medicine and security. Three-dimensional image measurement technologies can be broadly classified into passive techniques, such as stereovision and active techniques, such as patterned light projection. Among these, the method of projecting optimum intensity modulated light patterns for three-dimensional image measurement can obtain three-dimensional information on the measured object with a single projection, so it is expected to be highly applicable in practice. Measurement can be performed using a single observation image when the object to be measured has simple colouration or surface reflectivity, but for complex objects, eliminating the influence of colour and surface reflectivity requires a reference image to correct the intensity of the observed pattern. To address this, we propose an analysis method and image correction technology, using a novel colour system for realizing three-dimensional measurements using only one observation image.

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Section: Introductionmentioning

confidence: 99%