Masaaki Iiyama

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In this paper, we present a novel approach for extracting silhouettes by using a particular pattern that we call the random pattern. The volume intersection method reconstructs the shapes of 3D objects from their silhouettes obtained with multiple cameras. With the method, if some parts of the silhouettes are missed, the corresponding parts of the(More)
This paper presents an artifact-free superresolution texture mapping from multiple-view images. The multiple-view images are upscaled with a learning-based superresolution technique and are mapped onto a 3D mesh model. However, mapping multiple-view images onto a 3D model is not an easy task, because artifacts may appear when different upscaled images are(More)
Recognizing structure of human body is important for modeling human motion. Human body is usually represented as an articulate model, which consists of the rigid parts and the joint points between them. The structure of the human body is specified by the joint points. In this paper we propose a novel method for estimating the location of joint points from(More)
Morphogenesis in the developing embryo takes place in three dimensions, and in addition, the dimension of time is another important factor in development. Therefore, the presentation of sequential morphological changes occurring in the embryo (4D visualization) is essential for understanding the complex morphogenetic events and the underlying mechanisms.(More)
In this paper, we adopt the coded aperture technique to the alignment process for industrial machinery. As a special setting for assembly and inspection, such machinery uses an illumination of narrow wavelength range for imaging with less aberration. This leads to significant influence of light diffraction on the image restoration. Although the diffraction(More)
Photometric stereo is a method of recovering surface normals (needle map) from images. The surface integral of surface normals is used to reconstruct a depth map; however, the depth edges, which are discontinuous boundaries of the depth map, pose a problem for photometric stereo. When the surface of objects includes depth edges, the reconstructed depth map(More)
We propose a method for acquiring a 3D shape of human body segments accurately. Using a light stripe triangulation range finder, we can acquire accurate the 3D shape of a motionless object in a dozen of seconds. If the object were to move during the scanning, the acquired shape would be distorted. Naturally, humans move slightly for making balance while(More)
A new approach for reconstructing the arbitrary views of an object is proposed. The images are grabbed by the multiple camera system. The corresponding pairs among the images are determined from the relation of the camera positions. The exact depth measurement of each pixel of an object has been determined from the multiple image pairs. The synthesized(More)
3D shapes are reconstructed from silhouettes obtained by multiple cameras with the volume intersection method. In recent work, methods of integrating silhouettes in time sequences have been proposed. The number of silhouettes can be increased by integrating silhouettes in multiple frames. The silhouettes of a rigid object in multiple frames are integrated(More)
Most vision-based 3D acquisition methods including both passive and active methods have a limitation in that cameras must be able to observe the surface to be measured. If this is not possible, that is to say, if the surface is occluded, most of the methods cannot acquire the surface shape. In this paper, we present a method that can acquire the 3D points(More)