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Article type: Cover
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Published: February 04, 2000
Released on J-STAGE: June 23, 2017
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Article type: Index
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Published: February 04, 2000
Released on J-STAGE: June 23, 2017
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Masayoshi Tsuchida, Miki Haseyama, Hideo Kitajima
Article type: Article
Session ID: IDY2000-67/HIR2000-1
Published: February 04, 2000
Released on J-STAGE: June 23, 2017
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This paper presents the Kalman filter of Synthetic Aperture Radar (SAR) images for noise reduction. Numerical methods have been proposed to suppress speckle in SAR images. SAR images have not only speckles which have the characteristic of a randam multiplicative noise but also additive noise such as receiver thermal noise. We used the Kalman filter which takes into acount both multiplicative noise and additive noise. The experiment results on the test images proved effectivity of the proposed method for both multiplivative and additive noise reduction. This method were also applied on SAR image.
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Masato Kazui, Miki Haseyama, Hideo Kitajima
Article type: Article
Session ID: IDY2000-68/HIR2000-1
Published: February 04, 2000
Released on J-STAGE: June 23, 2017
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Recently, many algorithms about automatic driving systems or driver assitance systems have been proposed. Estimation of lane markers and the vanishing point is an important reserch field for these systems. In this paper, we propose a new method to estimate lane markers and the vanishing point based on a dynamics model. In this method, lines that intersect at one point are put at an arbitrary position of the image, and are attracted to lane markers by the force of edge potential. The vanishing point is also estimated at the same time. Experimental results from a real image sequence show the effectiveness of the proposed method.
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Ken-ichi TANAKA
Article type: Article
Session ID: IDY2000-69/HIR2000-1
Published: February 04, 2000
Released on J-STAGE: June 23, 2017
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There are meny method for halftoning, i.e., the dither method and the error diffusion method, etc. Recently, there has reported the halftoning image using genetic algorithm (GA), in order to search the halftone image that has superior picture quality. However, the computation time of this method is very long. Moreover, halftone image becomes an unnatural reproduction result at the boundary of the individuals, and the influence is exerted on the picture quality, because the size of string cannot be large. In this report, simulated annealing (SA) is applied to optimization of halftone image. As a result, the computation time is reduced and the superior halftone image obtained, compared with the case to using GA.
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Takuma RYUEN, Yasunori NAGASAKA, Nobuo SUZUMURA
Article type: Article
Session ID: IDY2000-70/HIR2000-2
Published: February 04, 2000
Released on J-STAGE: June 23, 2017
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Recognition of circular road signs in road images was investigated. Detecting the road signs in the image using color information is difficult, because it is easily influenced by several conditions like whether. We used the shape of road signs instead. It is not influenced by above conditions. Hough transform for circle detection was used. It adapts to the various size of circle and scratchy edge well. Using the table of circumference coordinates, the detection was accelerated. 194 road images taken by the video camera placed at passenger seat were used for evaluation. The detection rate of 82.6% and the recognition rate of 76.9% were obtained.
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Mitsugu MATSUSHITA, Yasunori NAGASAKA, Nobuo SUZUMURA
Article type: Article
Session ID: IDY2000-71/HIR2000-2
Published: February 04, 2000
Released on J-STAGE: June 23, 2017
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Detection and extraction of obstacles in a railroad crossing was investigated. A video camera placed over the crossing is used for capturing the image. Realtime object detection was performed by calculating the difference between input and background image. The background image is renewed to adapt to the change of lighting. Using record of brightness of past images, adaptation to the drastic change of lighting is also possible. If the detected object is partially lacked, it is corrected by considering the shape of edge. Under the several lighting conditions, detection rate of the car, the bicycles and the walker were 97%, 82% and 75% on average respectively.
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Hermant, Allan Kardec Barros, Tsuyoshi Yamamura, Noboru Ohnishi
Article type: Article
Session ID: IDY2000-72/HIR2000-2
Published: February 04, 2000
Released on J-STAGE: June 23, 2017
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We often see reflection phenomenon in our life. For example, through a window glass, we can see real objects, but reflection causes virtual objects to appear in front of the glass. Thus, it is sometimes difficult to recognize the real objects. Some works have been proposed to separate these real and virtual objects using an optical property called polarization. However, they have a restriction on one assumption: the angle of incidence. In this paper, we overcome this difficulty using independent component analysis (ICA). We show the efficiency of the proposed method, by experimental results.
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Shoji Tanaka, Seiji Inokuchi, Yuichi Iwadate
Article type: Article
Session ID: IDY2000-73/HIR2000-2
Published: February 04, 2000
Released on J-STAGE: June 23, 2017
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This paper describes an experiment for effectiveness evaluation of our attractiveness evaluation model. This model is proposed based on our hypothesis about the human attention processes, i.e., the human visual system first performs the figure-ground segmentation, and then evaluates the level of attractiveness for figure regions when he/she pays attention to something. The evaluation parameters are heterogeneity of regions on color, texture, shape, and size, as well as their color, texture, and size. These parameters contributed remarkably to the attractiveness in our subjective experiments. In the experiment, the model could properly estimate the level of attractiveness for regions according to the evaluation results by human subjects.
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Shoji Tanaka, Jeffery Chi Yin Ng, Keiko Nakao, Yuichi Iwadate
Article type: Article
Session ID: IDY2000-74/HIR2000-2
Published: February 04, 2000
Released on J-STAGE: June 23, 2017
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The Cyber Photographer is a robot that can take pictures according to the compositional information extracted from masterpieces. The robot takes pictures using the following steps: it generates a panoramic image from video frames taken from a mounted camera, extracts a region that viewers would be visually drawn to, retrieves a painting that possesses a subject with a shape similar to that of the selected region, and trims the panoramic image according to compositional information of the chosen painting. In our experiments, it was found that the robot was capable of taking pictures that were better than those taken by non-professionals.
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Toshifumi KANAMARU, Kunio YAMADA, Tadashi ICHIKAWA, Takeshi NAEMURA, K ...
Article type: Article
Session ID: IDY2000-75/HIR2000-2
Published: February 04, 2000
Released on J-STAGE: June 23, 2017
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This paper addresses a new 3D image representation in multimedia ambiance communication based on depth map. It aims at the construction of 3D image space based on generic photo-realistic images. We propose a new scheme of acquisition 3D image representation using depth map and texture. This paper shows the estimation method of plane parameters for 3D image representation in multimedia ambiance communication.
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Kazuya Maeshima, Hideki Ogawa, Kaoru Kakizaki
Article type: Article
Session ID: IDY2000-76/HIR2000-2
Published: February 04, 2000
Released on J-STAGE: June 23, 2017
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We describe as follows, the newest techniques used to produce a high quality picture of a large display, full-color LED screen planned and made for an event-hall. (1)Improving the color uniformity of the picture by individually correcting the variation of brightness on the display element. (2)Improving the definition by sampling a picture at the position of the display element. (3)Creating a Super-wide viewing angle in all directions by arranging the chip LED elements on a plane. (4)Decreasing the dark luminance with a black package of LED elements. (5)Improving the contrast ratio with high bright LED elements. (6)Stopping the flicker caused by the absence of luminous lag of an LED element by increasing the luminous frequency several times. (7)Improving the definition by arranging luminous elements more densely.
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Kohei SHIBATA, Hiroshi IMADA
Article type: Article
Session ID: IDY2000-77/HIR2000-2
Published: February 04, 2000
Released on J-STAGE: June 23, 2017
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In this paper, we derived an equation to determine the electric potential which develops due to the electrostatic latent image on the surface of a photosensitive drum, usint a method in which the developing zone surrounded by two cylinders is approximated by four layers of non-parallel flat plates. Then, using this equation, we determined the relationship between the angles of the plates and the electric potential. The electric potential decreased with increasing angles; and it increased with increasing drum-sleeve(DS) distance. In addition, when the DS distance was long, the influence of the angle was small. The relationship between the contrast potential and the angle did not differ significantly from that observed in the case of parallel flat plates. Furthermore, it was demonstrated that we can obtain the optical DS distance by changing the ratio of dielectric constant of the photosensitive drum to the developer.
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Yutaka Yamashita, Tomohiro Nagao, Yuji Sakamoto
Article type: Article
Session ID: IDY2000-78/HIR2000-2
Published: February 04, 2000
Released on J-STAGE: June 23, 2017
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To visualize realistic three-dimensional images using computer-generated holograms, reflection model of the surface is very important. This paper proposes a method that controls properties of surface reflection of virtual objects using spatial frequency. It is assumed that the objects is constructed by random phase surfaces, which is limited on the spatial frequency. The approach was verified by not only the computer simulations, but also computer-generated holograms.
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Koutaku TAKAHASHI, Manabu KATO, Yuji SAKAMOTO
Article type: Article
Session ID: IDY2000-79/HIR2000-2
Published: February 04, 2000
Released on J-STAGE: June 23, 2017
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Surgery simulation is one of the most important application field in virtual reality. Because each organ has physical properties such as stiffness, hardness and so on, segmentation of internal organs is indispensable for surgery simulation. But it is difficult to segment regions of organs automatically, because that image has uncertain part. Therefore, we propose a new method that creates spring model from the image, and separate the jointed regions by the force worked at operator designated place. Experiments using artificial images and a medical image, are achieved, whose results show the effectiveness of the proposed method.
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Article type: Appendix
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Published: February 04, 2000
Released on J-STAGE: June 23, 2017
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