Tetsuo Iyoda

LightCollabo: distant collaboration support system for manufacturers

This paper introduces our LightCollabo system which is a distant collaboration tool designed for manufacturers. For distant collaboration between factory workers and members of a product design team, it is important to support interactive discussion over actual objects. LightCollabo enables remotely located people to share a view of actual objects and to annotate on the objects by using a camera and a projector whose optic axes and view angles are precisely aligned. Light-Collabo has been experimentally deployed in several locations in China and Japan and proven to be effective. Initial results of our use case study are also described.

New range finder based on the re-encoding method and its application to 3D object modeling

We propose a novel range finding technique for measuring the 3D shape of objects. Experiments were carried out to verify the principle of this technique, and effectiveness of the technique was demonstrated through the experiments. The new range finding technique, which is based on a spatial encoding method, uses a single light pattern encoded with multiple values and enables the acquisition of range information of an object in a single shot. The conventional spatial encoding method uses a projector for projecting a light pattern onto an object and a CCD camera for measuring the 3D shape of the object. In this new technique, we use an additional CCD camera to cancel the influence of the texture of the object. The additional CCD camera is positioned so that the principal point and optical axis of the cameras lens become the same as those of the projectors lens. The light pattern projected onto the object is encoded again using image data captured by the additional CCD camera. Range image data acquired using this technique is highly accurate. We call this technique the Spatial Re-encoding method or SR method. We made an experimental model and captured range data of an object form different viewpoints to evaluate the effectiveness of the SR method. The whole 3D shape of the object was successfully built using those range data. This paper describes the new range finding technique called the SR method.

Image-based lighting adjustment method for browsing object images

In this paper, we describe an automatic lighting adjustment method for browsing object images. From a set of images of an object, taken under different lighting conditions, we generate two types of illuminated images: a textural image which eliminates unwanted specular reflections of the object, and a highlight image in which specularities of the object are highly preserved. Our user interface allows viewers to digitally zoom into any region of the image, and the lighting adjusted images are automatically generated for the selected region and displayed. Switching between the textural and the highlight images helps viewers to understand characteristics of the object surface.