This paper proposes a precise method of realizing simultaneous measurement of microscopic defects and the macroscopic three-dimensional shapes of planar objects having specular reflection surfaces. The direction vector field of surface tilt is evaluated directly by the introduction of a moving slit-light technique based on computer graphic animation. A reflected image created by the moving slit-light is captured by a video camera, and the image sequence of the slit-light deformation is analyzed. The obtained direction vector field of the surface tilt recovers the surface shape by means of integration. Two sample objects, a concave mirror and a plane plastic injection molding, are tested to measure the performance of the proposed method. Surface anomalies such as surface dent and warpage are detected quantitatively at a high resolution (about 0.2 [µm]) and a high accuracy (about 95%) in a wide area (about 15 [cm]) of the test object.

In this paper, we will discuss a map synthesis system which handles static information (geographic objects) as well as dynamic information (traffic conditions, weather, etc. ). In addition to geographic thesauruses used in the previous systems, we will use co-existence relationships to improve the quality of maps generation. The system is considered to be general purpose (not restricted to car navigation nor travel maps) and can generate arbitrary maps according to the user's specification. It is very difficult for a user to specify a query which corresponds to the required map, because map description is not easy. The system should automatically generate missing information or find errors in the user specification. For the purpose we use geographic domain thesauruses which contain aggregation and other geographic relationships as well as conventional thesaurus hierarchy. In this paper, we will discuss to use co-existence relationships to enhance ability to select geographic objects automatically. Co-existence specifies relationships among geographic objects which should appear in a map together although they may not have geographic relationship by thesauruses. By utilizing co-existence relationships, a user can acquire much more understandable maps.