We propose a technique for viewpoint and illumination-independent digital archiving of art paintings in which the painting surface is regarded as a 2-D rough surface with gloss and shading. Surface materials like oil paints are inhomogeneously dielectric with the dichromatic reflection property. The procedure for total digital archiving is divided into three main steps: acquisition, analysis, and rendering. In the first stage, we acquire images of a painting using a multiband imaging system with six spectral channels at different illumination directions. In the second stage, we estimate the surface properties of surface-spectral reflectance functions, surface normal vectors, and 3-D reflection model parameters. The principal component analysis suggests that the estimated spectral reflectances have the potential for high data compression. In the third stage, we combine all the estimates for rendering the painting under arbitrary illumination and viewing conditions. We confirm the feasibility of the proposed technique in experiments using oil paintings.
A method is proposed for estimating various parameters of a reflection model using both the image data and the range data of an object surface. A unified measuring system, combining a laser range and a multi-band camera system, is made for acquiring the 3D shape data and the spectral reflectance data of the object surface. First, the diffuse reflection component and the specular reflection component at every pixel are obtained using the observed images at
two illumination directions and the surface normal vectors calculated from the range data. The spectral reflectance is then estimated from the diffuse reflection component. Next, the extracted specular reflection component is fitted to the specular function of the Torrance-Sparrow model. The performance of the proposed method is examined on an experiment using a painted object in details. We show the estimation results for (1) spectral reflectance, (2) surface
roughness, and (3) diffuse and specular intensities. The overall feasibility of the proposed method is confirmed based on computer graphics images created by using the estimated parameters.
This paper describes a method for estimating a reflection model from a color image of an object taken by a multi-band CCD camera. The Torrance-Sparrow model is used for modeling light reflection on an object surface. We propose algorithms for estimating model parameters from a single image by the multi-band CCD camera. To estimate the surface roughness, we propose the use of the brightness image and the reflectance map in the neighborhood of a highlight peak point. An algorithm is presented for finding a particular solution of the surface orientation. The feasibility of the method is demonstrated in an experiment using a painted object. The estimation accuracy of the whole model is confirmed based on computer graphics images.
The present paper proposes a method for recoding and rendering of art paintings using only spectral reflectance data of the object surfaces. A multiband camera system with six spectral channels of fixed wavelength bands is used for spectral imaging. No range finder is used for measuring the surface shape. We show that it is possible to render realistic images of the object for different directions of illumination, without using the 3D shape data. First, a method for estimating spectral reflectance for body reflection component of a rough surface is described. Next a method is proposed for practical image rendering. The method is based on interpolation among the images reproduced in the known illumination directions. The color signal for an arbitrary illumination direction is estimated from the color signals observed for three illumination directions. As a result, the image of an art painting object illuminated from any direction is rendered using the reflectance data obtained for three illumination directions. We present algorithms for estimating surface-spectral reflectances of an object and rendering the image for any lighting conditions. An experiment using an oil painting is executed for demonstrating the feasability of the proposed method.
Access to the requested content is limited to institutions that have purchased or subscribe to SPIE eBooks.
You are receiving this notice because your organization may not have SPIE eBooks access.*
*Shibboleth/Open Athens users─please
sign in
to access your institution's subscriptions.
To obtain this item, you may purchase the complete book in print or electronic format on
SPIE.org.
INSTITUTIONAL Select your institution to access the SPIE Digital Library.
PERSONAL Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.