Showing papers by "Robert Sablatnig published in 2000"
01 Sep 2000
TL;DR: A color specification technique is proposed, which exploits the fact that the spectral reflectance of materials like archaeological fragments vary slowly, and explains how the acquisition system is calibrated in order to get accurate colorimetric information with respect to archaeological requirements.
Abstract: We are developing an automated classification and reconstruction system for archaeological fragments. The goal is to relate different fragments belonging to the same vessel based on shape, material and color, thus the color information is important in the pre-classification process. In this work a color specification technique is proposed, which exploits the fact that the spectral reflectance of materials like archaeological fragments vary slowly. We explain how the acquisition system is calibrated in order to get accurate colorimetric information with respect to archaeological requirements. Experimental results are presented for archaeological objects and for a set of test color patches.
24 citations
01 Dec 2000
TL;DR: This paper concentrates on a general analysis graph within a systematic automated visual inspection concept that speeds up the development of such systems by increasing the flexibility.
Abstract: The continuing development of machine vision is initiating a change from human to machine vision for inspection purposes. This paper concentrates on a general analysis graph within a systematic automated visual inspection concept that speeds up the development of such systems by increasing the flexibility. The detection of primitives is separated from the model-based analysis process. Together with an object-specific description, the analysis graph is instantiated to perform the inspection. The analysis graph can be seen as a “recipe” for solving industrial applications, stating which kind of decisions have to be made at which stage.
18 citations
03 Sep 2000
TL;DR: To minimize the loss of information and to guarantee a uniform surface resolution, a relation between the entropy and the next viewing angle is derived, based on the profile sections acquired in the last two steps of the acquisition.
Abstract: In order to reconstruct the viewable surface of an object completely, multiple views of the same object have to be used and integrated into a common coordinate system One of the major problems of the 3D surface reconstruction using a turntable, is the varying resolution in the direction to the camera, due to the varying distance of object points to the rotational axis of the turntable To guarantee a uniform object resolution, we calculate the next angle dynamically, depending on the entropy of the surface part actually acquired To minimize the loss of information and to guarantee a uniform surface resolution, we derive a relation between the entropy and the next viewing angle, based on the profile sections acquired in the last two steps of the acquisition
8 citations
01 Jan 2000
TL;DR: To minimize the loss of information and to guarantee a uniform surface resolution, a relation between the entropy and the next viewing angle is derived, based on the profile sections acquired in the last two steps of the acquisition.
Abstract: In order to reconstruct the viewable surface of an object completely, multiple views of the same object have to be used and integrated into a common coordinate system One of the major problems of the 3d surface reconstruction using a turntable, is the varying resolution in the direction to the camera, due to the varying distance of object points to the rotational axis of the turntable To guarantee a uniform object resolution, we calculate the next angle dynamically, depending on the entropy of the surface part actually acquired To minimize the loss of information and to guarantee a uniform surface resolution, we derive a relation between the entropy and the next viewing angle, based on the profile sections acquired in the last two steps of the acquisition
5 citations
01 Jan 2000
TL;DR: In this work a color specification technique is proposed, which exploits the fact that the spectral reflectance of materials like archaeo- logical fragments vary slow in the visible spectrum, and how the acquisition system is calibrated in order to get accurate colorimetric information with respect to archaea- logical requirements.
Abstract: Every archaeological excavation must deal with a vast number of ceramic fragments. The documentation, administration and scientific processing of these fragments represent a temporal, personnel, and financial problem. We are developing an automated classification and reconstruc- tion system for archaeological fragments. The goal is to re- late different fragments belonging to the same vessel based on shape, material and color, thus the color information is important in the pre-classification process. In this work a color specification technique is proposed, which exploits the fact that the spectral reflectance of materials like archaeo- logical fragments vary slow in the visible spectrum. We ex- plain how the acquisition system is calibrated in order to get accurate colorimetric information with respect to archaeo- logical requirements. Experimental results are presented for archaeological objects and for a set of test color patches.
TL;DR: To minimize the loss of information and to guarantee a uniform surface resolution, a relation between the entropy and the next viewing angle is derived, based on the profile sections acquired in the last two steps of the acquisition.
Abstract: In order to reconstruct the viewable surface o an object completely, multiple views of the same object have to be used and integrated into a common coordinate system. One of the major problems of the 3D surface reconstruction using a turntable, is the varying resolution in the direction to the camera, due to the varying distance of object points to the rotational axis of the turntable. To guarantee a uniform object resolution, we calculate the next angel dynamically, depending on the entropy of the surface part actually acquired. To minimize the loss of information and to guarantee a uniform surface resolution, we derive a relation between the entropy and the next viewing angle, based on the profile sections acquired in the last two steps of the acquisition.