Shintaro Ono
University of Tokyo
Network
Latest external collaboration on country level. Dive into details by clicking on the dots.
Publication
Featured researches published by Shintaro Ono.
computer vision and pattern recognition | 2009
Shirmila Mohottala; Shintaro Ono; Masataka Kagesawa; Katsushi Ikeuchi
This paper presents a system that fuses data from a vision sensor and a laser sensor for detection and classification. Fusion of a vision sensor and a laser range sensor enables us to obtain 3D information of an object together with its textures, offering high reliability and robustness to outdoor conditions. To evaluate the performance of the system, it is applied to recognition of on-street parked vehicles scanned from a moving probe vehicle. The evaluation experiments show obviously successful results, with a detection rate of 100% and an accuracy over 95% in recognizing four vehicle classes.
virtual systems and multimedia | 2006
Daisuke Miyazaki; Mawo Kamakura; Tomoaki Higo; Yasuhide Okamoto; Rei Kawakami; Takaaki Shiratori; Akifumi Ikari; Shintaro Ono; Yoshihiro Sato; Mina Oya; Masayuki Tanaka; Katsushi Ikeuchi; Masanori Aoyagi
Auguste Rodin is the most celebrated sculptor of the 19th century. His works, such as The Gates of Hell, The Thinker, and The Burghers of Calais, are famous worldwide. To our knowledge, no art historians have analyzed three-dimensional data of Rodin’s work. This paper describes our project to fill this need by digitally archiving the bronze statue, The Burghers of Calais. First, we scanned the geometrical shape of the sculpture by using a laser range sensor. After that, we analyzed the resulting three-dimensional data using expert knowledge in the field of art history and technology developed in the fields of computer vision and graphics.
international conference on pattern recognition | 2008
Ryo Sato; Shintaro Ono; Hiroshi Kawasaki; Katsushi Ikeuchi
Computer modeling of a large-scale scene such as a city becomes an important topic for computer vision and computer graphics research areas etc. Image-based rendering (IBR) is an effective method for expressing realistic scene, and can construct any arbitrary viewpoint by using the captured real images. However, the large size of the image database in IBR causes serious problems in actual applications, leading to the use of compression techniques. We propose a compression technique based on eigen space combined with a block matching technique to get better result. We also propose a technique to restore the compressed data on Graphic Processing Unit (GPU), allowing us to perform high-speed rendering without raising the load on the CPU.
international conference on pattern recognition | 2006
Shintaro Ono; Takeshi Mikami; Hiroshi Kawasaki; Katsushi Ikeuchi
In this paper, a novel analysis of space-time volume of spherical projection image is presented. So far, space-time analyses have been extensively conducted for various purposes, i.e. 3-D reconstruction, estimation of camera motion and novel view synthesis and most of them consider only a planer projection and a single camera. In contrast, we conducted analysis on spherical projection for multiple cameras. Since spherical projection does not change its appearance in relation to rotation around the origin of the sphere, extrinsic camera parameters and synchronous parameters of multiple video cameras can be simultaneously estimated by registering multiple space-time volumes of spherical projection, which can be easily achieved by block-matching technique. By using the parameters, multiple video images can be successfully integrated into single omni-directional images without distortions
Information Visualization | 2002
Shintaro Ono; Matasaka Kagesawa; Katushi Ikeuchi
This paper describes a novel method of parking-vehicle detection by using a laser range finder mounted on a probe car. One of the important issues to heavy traffic congestion in Japan is that many vehicles are parked on street and this situation usually decreases the capacity of the street, hence, traffic congestion occurs. Thus it is very important for Japanese road administrators to measure the actual capacity of their road network, including effect of parking vehicles. The method of counting parking vehicles is very simple. A line laser range sensor is vertically mounted on a probe car. As the car runs, we obtain two-dimensional depth image, from which we can reconstruct a set of points in 3D real world. We have developed two kinds of algorithm to count the number of parking vehicles. We have performed outdoor experiments to make sure that our algorithms work good. On the other hand, we have already developed a visualization system for enhanced navigation system: a probe car run in town to obtain various images (textures) of buildings and later we can create a 3-D map of the town with real world texture images. In order to apply this system, we now assume that we have 2-D map of the town. But combining with our new method, we can use 3D range images taken from a probe car instead of given 2-D map. We believe that our measuring method is the first step to town-activity detection.
international conference on culture and computing | 2013
Yujin Zhang; Min Lu; Bo Zheng; Takeshi Masuda; Shintaro Ono; Takeshi Oishi; Kyoko Sengoku-Haga; Katsushi Ikeuchi
Modern 3D digital archiving technique provides a reliable assistance to archaeologists. In this paper, we explore a novel framework for digital classical sculpture comparison. Quantitative comparison is introduced, and shape difference is visualized as an indicator to infer unclear points about statue reproduction process in Roman period. Providing a new perspective for the culture relics study, our method plausibly verifies several important assumptions.
digital heritage international congress | 2013
Min Lu; Yujin Zhang; Bo Zheng; Takeshi Masuda; Shintaro Ono; Takeshi Oishi; Kyoko Sengoku-Haga; Katsushi Ikeuchi
3D shape comparison with digital copies draws increasing attention in modern culture heritage studies. In this paper, we focus on analyzing portrait sculptures of Augustus with 3D scanned data. A feasible framework of automatic object categorization is proposed based on shape comparison, where distinguishing regions are simultaneously detected as well. High coincidence between our result and previous archaeological speculations is observed in validation experiments, which confirms the validity of the proposed method.
international symposium on mixed and augmented reality | 2005
Shintaro Ono; Koichi Ogawara; Masataka Kagesawa; Hiroshi Kawasaki; Masaaki Onuki; Ken Honda; Katsushi Ikeuchi
We propose an efficient and effective image generation system for an experimental mixed-reality traffic space. Our enhanced traffic/driving simulation system represents the view through a hybrid that combines virtual geometry with real images to realize high photo-reality with little human cost. Images for datasets are captured from the real world, and the view for the simulation system is created by synthesizing image datasets - with a conventional driving simulator.
international conference on vehicular electronics and safety | 2015
Teruhisa Takano; Shintaro Ono; Yuki Matsushita; Hiroshi Kawasaki; Katsushi Ikeuchi
Fisheye cameras are widely adopted in the back view camera of vehicles and the surveillance camera. Compared to the normal digital cameras, their resolution and image quality are low. In this paper, we propose a method to restore the high resolution images from the fisheye camera by the reconstructed type of super resolution. First, we undistort the fisheye images and regularize these images. Then we super-resolve these regularized images. Blur kernel for super resolution includes the lens blur and the expansion and reduction by the undistortion. The experimental results confirms to the effectiveness of our method which applies to the images captured by the digital camera with fish-eye lens.
International Journal of Intelligent Transportation Systems Research | 2015
Kazuma Fukumoto; Hiroshi Kawasaki; Shintaro Ono; Hiroshi Koyasu; Katsushi Ikeuchi
Recently, the mounting of on-vehicle camera is increasing to general cars. Because of this, some users start to upload the on-vehicle videos to web. So that, a number of on-vehicle videos are available nowadays. In this paper, in order to localize car, we propose the efficient matching method for such on-vehicle videos using Temporal Height Image (THI), Affine SIFT and Bag of Feature. THI retains information of relative building height from temporal image sequence. Then we extract robust features from the THI by using Affine SIFT. We realize efficient matching by expressing their features using Bag of features. We conducted experiments to show the efficiency of the proposed method by real image sequences of the city.