• Title/Summary/Keyword: Target Objects

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Relative localization errors: The effect of reference location on the errors (상대적인 위치지각의 왜곡: 참조자극의 위치가 왜곡에 미치는 영향)

  • Li, Hyung-Chul
    • Korean Journal of Cognitive Science
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    • v.15 no.3
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    • pp.15-24
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    • 2004
  • The perceived position of a flashing target object is generally biased towards the direction of eye movement when there is no reference around the target. Current research examined the localization accuracy of a flashing target relative to a static reference. The perceived location of the target relative to the reference was distorted and the pattern of perceptual distortion systematically depended on the position of the reference relative to the target. This kind of result was consistently observed regardless of the distance between the reference and the target and direction of pursuit eye movement. We have discussed how these results could he explained by the theories previously suggested to explain the localization of objects.

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Underwater Target Analysis Using Canonical Correlation Analysis (정준상관분석을 이용한 수중표적 분석)

  • Seok, Jong-Won;Kim, Tae-Hwan;Bae, Keun-Sung
    • Journal of the Korea Institute of Information and Communication Engineering
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    • v.16 no.9
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    • pp.1878-1883
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    • 2012
  • Generally, in the underwater target recognition, feature vectors are extracted from the target signal utilizing spatial information according to target shape/material characteristics. And, various signal processing techniques have been studied to extract feature vectors which is less sensitive to the location of the receiver. In this paper, we analyzed the characteristics of synthesized underwater objects using canonical correlation analysis method which is relatively less sensitive to the location of receiver. Canonical correlation analysis is applied to two consecutive backscattered sonar returns at different aspect angles to analyze the correlation characteristics in multi-aspect environment.

Influence of Microstructure on Reference Target on Ultrasonic Backscattering (기준표적상의 미세구조가 초음파 후방산란에 미치는 영향)

  • Kim, Ho-Chul;Kim, Yong-Tae
    • The Journal of the Acoustical Society of Korea
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    • v.29 no.1E
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    • pp.38-44
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    • 2010
  • This paper is based on our comments and proposed amendments to the documents, Annex A, Phantom for determining Maximum Depth of Penetration, and Annex B, Local Dynamic Range Using Acoustical Test Objects 87/400/CDV. IEC 61391-2 Ed. 1.0 200X, prepared by IEC technical Committee 87; Ultrasonics. The documents are concerned with the influence of microstructure of reference target material on the ultrasonic backscattering. Previous works on the attenuation due to backreflection and backscattering of reference target materials are reviewed. The drawback to the use of ungraded stainless steel and metallic materials without microstructural data such as, crystal structure, basic acoustic data of sound velocity and attenuation, grain size, roughness and elastic constants has been discussed. The analysis suggested that the insightful conclusion can be made by differentiating the influence arising from target size and microstructure on the backscattering measurements. The microstructural parameters are associated with physical, geometrical, acoustical and mechanical origins of variation with frequency. Further clarification of such a diverse source mechanisms for ultrasonic backscattering would make the target material and its application for medical diagnosis and therapy simpler and more reliable.

Comparison of Edge Localization Performance of Moment-Based Operators Using Target Image Data

  • Seo, Suyoung
    • Korean Journal of Remote Sensing
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    • v.32 no.1
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    • pp.13-24
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    • 2016
  • This paper presents a method to evaluate the performance of subpixel localization operators using target image data. Subpixel localization of edges is important to extract the precise shape of objects from images. In this study, each target image was designed to provide reference lines and edges to which the localization operators can be applied. We selected two types of moment-based operators: Gray-level Moment (GM) operator and Spatial Moment (SM) operator for comparison. The original edge localization operators with kernel size 5 are tested and their extended versions with kernel size 7 are also tested. Target images were collected with varying Camera-to-Object Distance (COD). From the target images, reference lines are estimated and edge profiles along the estimated reference lines are accumulated. Then, evaluation of the performance of edge localization operators was performed by comparing the locations calculated by each operator and by superimposing them on edge profiles. Also, enhancement of edge localization by increasing the kernel size was also quantified. The experimental result shows that the SM operator whose kernel size is 7 provides higher accuracy than other operators implemented in this study.

Optical System Design for Thermal Target Recognition by Spiral Scanning [TRSS]

  • Kim, Jai-Soon;Yoon, Jin-Kyung;Lee, Ho-Chan;Lee, Jai-Hyung;Kim, Hye-Kyung;Lee, Seung-Churl;Ahn, Keun-Ok
    • Journal of the Optical Society of Korea
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    • v.8 no.4
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    • pp.174-181
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    • 2004
  • Various kinds of systems, that can do target recognition and position detection simultaneously by using infrared sensing detectors, have been developed. In this paper, the detection system TRSS (Thermal target Recognition by Spiral Scanning) adopts linear array shaped uncooled IR detector and uses spiral type fast scanning method for relative position detection of target objects, which radiate an IR region wavelength spectrum. It can detect thermal energy radiating from a 9 m-size target object as far as 200 m distance. And the maximum field of a detector is fully filled with the same size of target object at the minimum approaching distance 50 m. We investigate two types of lens systems. One is a singlet lens and the other is a doublet lens system. Every system includes one aspheric surface and free positioned aperture stop. Many designs of F/1.5 system with ${\pm}5.2^{\circ}$ field at the Efl=20, 30 mm conditions for single element and double elements lens system respectively are compared in their resolution performance [MTF] according to the aspheric surface and stop position changing on their optimization process. Optimum design is established including mechanical boundary conditions and manufacturing considerations.

A 3D Modeling System Using Multiple Stereo Cameras (다중 스테레오 카메라를 이용한 3차원 모델링 시스템)

  • Kim, Han-Sung;Sohn, Kwang-Hoon
    • Journal of the Institute of Electronics Engineers of Korea SP
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    • v.44 no.1
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    • pp.1-9
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    • 2007
  • In this paper, we propose a new 3D modeling and rendering system using multiple stereo cameras. When target objects are captured by cameras, each capturing PC segments the objects and estimates disparity fields, then they transmit the segmented masks, disparity fields, and color textures of objects to a 3D modeling server. The modeling server generates 3D models of the objects from the gathered masks and disparity fields. Finally, the server generates a video at the designated point of view with the 3D model and texture information from cameras.

Objects Recognition and Intelligent Walking for Quadruped Robots based on Genetic Programming (4족 보행로봇의 물체 인식 및 GP 기반 지능적 보행)

  • Kim, Young-Kyun;Hyun, Soo-Hwan;Jang, Jae-Young;Seo, Ki-Sung
    • Journal of the Korean Institute of Intelligent Systems
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    • v.20 no.5
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    • pp.603-609
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    • 2010
  • This paper introduces an objects recognition algorithm based on SURF(Speeded Up Robust Features) and GP(Genetic Programming) based gaits generation. Combining both methods, a recognition based intelligent walking for quadruped robots is proposed. The gait of quadruped robots is generated by means of symbolic regression for each joint trajectories using GP. A position and size of target object are recognized by SURF which enables high speed feature extraction, and then the distance to the object is calculated. Experiments for objects recognition and autonomous walking for quadruped robots are executed for ODE based Webots simulation and real robot.

Shared Data Decomposition Model for Improving Concurrency in Distributed Object-oriented Software Development Environments (분산 객체 지향 소프트웨어 개발 환경에서 동시성 향상을 위한 공유 데이타 분할 모델)

  • Kim, Tae-Hoon;Shin, Yeong-Gil
    • Journal of KIISE:Software and Applications
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    • v.27 no.8
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    • pp.795-803
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    • 2000
  • This paper presents a shared data decomposition model for improving concurrency in multi-user, distributed software developments. In our model, the target software system is decomposed into the independent components based on project roles to be distributed over clients. The distributed components are decomposed into view objects and core objects to replicate only view objects in a distributed collaboration session. The core objects are kept in only one client and the locking is used to prevent inconsistencies. The grain size of a lock is a role instead of a class which is commonly used as the locking granularity in the existing systems. The experimental result shows that our model reduces response time by 12${\sim}$18% and gives good scalability.

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Secondary camera position optimization for observing the close space between objects (근접한 물체 사이의 공간 관찰을 위한 보조 카메라 위치 최적화)

  • Lee, Ji Hye;Han, Yun Ha;Choi, Myung Geol
    • Journal of the Korea Computer Graphics Society
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    • v.24 no.3
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    • pp.33-41
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    • 2018
  • We present a secondary camera optimization method that helps the user exploring 3D virtual environment to precisely observe possible collisions between objects. The first role of our secondary camera is to automatically detect the area with the greatest possible collision. The second role is to show the detected area from a new angle of view that the current main camera cannot show. However, as the shapes of target objects are complex, the shape of the empty space between objects is also complex and narrow. It means that the space for the secondary camera position is highly constrained and its optimization can be very difficult. To avoid this difficulty and increase the efficiency of the optimization, we first compute a bisector surface between two target objects. Then, we limit the domain of the secondary camera's position on the bisector surface in the optimization process. To verify the utility of our method, we built a demonstration program in which the user can explore in a 3D virtual world and interact with objects by using a hand motion recognition device and conducted a user study.

A Watermarking Scheme Based on k-means++ for Design Drawings (k-means++ 기반의 설계도면 워터마킹 기법)

  • Lee, Suk-Hwan;Kwon, Ki-Ryong
    • Journal of the Institute of Electronics Engineers of Korea CI
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    • v.46 no.5
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    • pp.57-70
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    • 2009
  • A CAD design drawing based on vector data that is very important art work in industrial fields has been considered to content that the copyright protection is urgently needed. This paper presents a watermarking scheme based on k-means++ for CAD design drawing. One CAD design drawing consists of several layers and each layer consists of various geometric objects such as LINE, POLYLINE, CIRCLE, ARC, 3DFACE and POLYGON. POLYLINE with LINE, 3DFACE and ARC that are fundamental objects make up the majority in CAD design drawing. Therefore, the proposed scheme selects the target object with high distribution among POLYLINE, 3DFACE and ARC objects in CAD design drawing and then selects layers that include the most target object. Then we cluster the target objects in the selected layers by using k-means++ and embed the watermark into the geometric distribution of each group. The geometric distribution is the normalized length distribution in POLYLINE object, the normalized area distribution in 3DFACE object and the angle distribution in ARC object. Experimental results verified that the proposed scheme has the robustness against file format converting, layer attack as well as various geometric editing provided in CAD editing tools.