• Title/Summary/Keyword: Feature mapping

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Panoramic Image Generation for the Virtual Environment (가상환경을 위한 파노라마 생성에 관한 연구)

  • Kim, Tae-Eun
    • Journal of Digital Contents Society
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    • v.8 no.3
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    • pp.365-370
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    • 2007
  • This paper proposes a new algorithm that generates a panorama image for reconstruction of image-based virtual environment. Proposed algorithm can generate panorama image from input images using the projective transform based on the feature model and a fully immersive image-based virtual environment according to the user's view point by the sphere mapping. Especially, proposed algorithm supports robust methods of camera rotation and is applied to various images to estimate ist performance.

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Modified ORB-SLAM Algorithm for Precise Indoor Navigation of a Mobile Robot (모바일로봇의 정밀 실내주행을 위한 개선된 ORB-SLAM 알고리즘)

  • Ock, Yongjin;Kang, Hosun;Lee, Jangmyung
    • The Journal of Korea Robotics Society
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    • v.15 no.3
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    • pp.205-211
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    • 2020
  • In this paper, we propose a modified ORB-SLAM (Oriented FAST and Rotated BRIEF Simultaneous Localization And Mapping) for precise indoor navigation of a mobile robot. The exact posture and position estimation by the ORB-SLAM is not possible all the times for the indoor navigation of a mobile robot when there are not enough features in the environment. To overcome this shortcoming, additional IMU (Inertial Measurement Unit) and encoder sensors were installed and utilized to calibrate the ORB-SLAM. By fusing the global information acquired by the SLAM and the dynamic local location information of the IMU and the encoder sensors, the mobile robot can be obtained the precise navigation information in the indoor environment with few feature points. The superiority of the modified ORB-SLAM was verified to compared with the conventional algorithm by the real experiments of a mobile robot navigation in a corridor environment.

Near-IR Spectral Features of Haze Particles in the Atmosphere of Titan

  • Kim, Sang Joon
    • The Bulletin of The Korean Astronomical Society
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    • v.38 no.1
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    • pp.62.1-62.1
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    • 2013
  • The Cassini/Visual Infrared Mapping Spectrometer (VIMS) observed the sun through the atmosphere of Titan, and provided vertically-resolved 63 spectra from 49 km to 987 km for the 1 - 5 micron range (Bellucci, 2008). Bellucci et al. (2009) analyzed selected spectral ranges where the band absorptions of $CH_4$ and CO are strong by constructing synthetic spectra including $CH_4$ and CO lines, but without including haze absorptions in their synthetic spectra. Kim et al. (2011) and Sim et al. (2013) were able to extract detailed spectral features of fundamental (Dv = 1) and overtone (Dv = 2) bands of the haze from the VIMS spectra by excluding the adjacent influences of strong $CH_4$ absorptions using a radiative transfer program, which includes effects of absorption and emission of lines of these molecules, and absorption and scattering of haze particles. In this presentation, we extend our detailed analyses to other remaining wavelengths in order to provide the spectral characteristics of the Titanian haze for the entire 1 - 5 micron range and to identify any additional haze spectral features and an unidentified feature near 4.3 microns reported by Bellucci et al. (2009).

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An Interactive Character Animation and Data Management Tool (대화형 캐릭터 애니메이션 생성과 데이터 관리 도구)

  • Lee, Min-Geun;Lee, Myeong-Won
    • The KIPS Transactions:PartA
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    • v.8A no.1
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    • pp.63-69
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    • 2001
  • In this paper, we present an interactive 3D character modeling and animation including a data management tool for editing the animation. It includes an animation editor for changing animation sequences according to the modified structure of 3D object in the object structure editor. The animation tool has the feature that it can produce motion data independently of any modeling tool including our modeling tool. Differently from conventional 3D graphics tools that model objects based on geometrically calculated data, our tool models 3D geometric and animation data by approximating to the real object using 2D image interactively. There are some applications that do not need precise representation, but an easier way to obtain an approximated model looking similar to the real object. Our tool is appropriate for such applications. This paper has focused on the data management for enhancing the automatin and convenience when editing a motion or when mapping a motion to the other character.

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EMG Pattern Recognition based on Evidence Accumulation for Prosthesis Control

  • Lee, Seok-Pil;Park, Sand-Hui
    • Journal of Electrical Engineering and information Science
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    • v.2 no.6
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    • pp.20-27
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    • 1997
  • We present a method of electromyographic(EMG) pattern recognition to identify motion commands for the control of a prosthetic arm by evidence accumulation with multiple parameters. Integral absolute value, variance, autoregressive(AR) model coefficients, linear cepstrum coefficients, and adaptive cepstrum vector are extracted as feature parameters from several time segments of the EMG signals. Pattern recognition is carried out through the evidence accumulation procedure using the distances measured with reference parameters. A fuzzy mapping function is designed to transform the distances for the application of the evidence accumulation method. Results are presented to support the feasibility of the suggested approach for EMG pattern recognition.

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Object Tracking for a Video Sequence from a Moving Vehicle: A Multi-modal Approach

  • Hwang, Tae-Hyun;Cho, Seong-Ick;Park, Jong-Hyun;Choi, Kyoung-Ho
    • ETRI Journal
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    • v.28 no.3
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    • pp.367-370
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    • 2006
  • This letter presents a multi-modal approach to tracking geographic objects such as buildings and road signs in a video sequence recorded from a moving vehicle. In the proposed approach, photogrammetric techniques are successfully combined with conventional tracking methods. More specifically, photogrammetry combined with positioning technologies is used to obtain 3-D coordinates of chosen geographic objects, providing a search area for conventional feature trackers. In addition, we present an adaptive window decision scheme based on the distance between chosen objects and a moving vehicle. Experimental results are provided to show the robustness of the proposed approach.

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Automatic WordNet mapping using word sense disambiguation (의미 애매성 해소를 이용한 WordNet 자동 매핑)

  • Lee, Chang-Ki;Lee, Geun-Bae
    • Annual Conference on Human and Language Technology
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    • 2000.10d
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    • pp.262-268
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    • 2000
  • 본 논문에서는 어휘 의미 애매성 해소와 영어 대역어 사전 그리고 외국언어에 존재하는 개념체계를 이용하여 한국어 개념체계를 자동으로 구축하는 방법을 기술한다. 본 논문에서 사용하는 방법은 기존의 개념체계 구축 방법들에 비해 적은 노력과 시간을 필요로 한다. 또한 상기한 자동 구축 방법에서 사용하는 어휘 의미 애매성 해소를 위한 6가지 feature도 함께 설명한다.

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BUILDING EXTRACTION FROM LIDAR DATA USING DEVIRED NORMALIZE DIGITAL SURFACE MODEL

  • Nguyen, Dinh-Tai;Lee, Seung-Ho;Cho, Hyun-Kook;Kim, Cheon
    • Proceedings of the KSRS Conference
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    • 2009.03a
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    • pp.286-290
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    • 2009
  • In recent years, LiDAR technology has been becoming more popular and important. Its applications are completely replacing the traditional remote sensing technique. One of these applications is creating Digital City Models in urban areas, which is essential for many others such as disaster management, cartographic mapping, simulation of new buildings, updating and keeping cadastral data. In most of these cases the building outlines is the primary feature of interest. In this paper, a method of extracting building outlines from LiDAR data will be performed.

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Building Extraction from Lidar Data and Aerial Imagery using Domain Knowledge about Building Structures

  • Seo, Su-Young
    • Korean Journal of Remote Sensing
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    • v.23 no.3
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    • pp.199-209
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    • 2007
  • Traditionally, aerial images have been used as main sources for compiling topographic maps. In recent years, lidar data has been exploited as another type of mapping data. Regarding their performances, aerial imagery has the ability to delineate object boundaries but omits much of these boundaries during feature extraction. Lidar provides direct information about heights of object surfaces but have limitations with respect to boundary localization. Considering the characteristics of the sensors, this paper proposes an approach to extracting buildings from lidar and aerial imagery, which is based on the complementary characteristics of optical and range sensors. For detecting building regions, relationships among elevation contours are represented into directional graphs and searched for the contours corresponding to external boundaries of buildings. For generating building models, a wing model is proposed to assemble roof surface patches into a complete building model. Then, building models are projected and checked with features in aerial images. Experimental results show that the proposed approach provides an efficient and accurate way to extract building models.

Tropospheric Ozone Retrieval Algorithm Based on the TOMS Scanning Geometry

  • Kim, Jae-Hwan;Na, Sun-Mi;Newchurch, M.J.
    • Korean Journal of Remote Sensing
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    • v.19 no.1
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    • pp.11-19
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    • 2003
  • This paper applies the Scan-Angle Method (SAM) to the Total Ozone Mapping Spectrometer (TOMS) aboard Earth Probe (EP) satellite for determining tropospheric ozone based on TOMS scan geometry. In the northern tropical Africa burning season, the distribution of the SAM-derived tropospheric ozone presents a tropospheric ozone enhancement related to biomass burning. This distribution is consistent with that of fire counts observed from Along Track Scanning Radiometer (ATSR) and that of carbon monoxide, the tropospheric ozone precursor, observed from Measurements of Pollution In The Troposphere (MOPITI). However, this feature is not shown in the distribution of tropospheric ozone derived from other TOMS-based algorithms for the northern burning season. In the high latitudes, the influence of pollution in the SAM results is seen over the northern continents in agreement with carbon monoxide for northern summer when the dynamical activity is weak in the northern hemisphere.