• Title/Summary/Keyword: Curvature Detection

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Multimodal Curvature Discrimination of 3D Objects

  • Kim, Kwang-Taek;Lee, Hyuk-Soo
    • Journal of the Institute of Convergence Signal Processing
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    • v.14 no.4
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    • pp.212-216
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    • 2013
  • As virtual reality technologies are advanced rapidly, how to render 3D objects across modalities is becoming an important issue. This study is therefore aimed to investigate human discriminability on the curvature of 3D polygonal surfaces with focusing on the vision and touch senses because they are most dominant when explore 3D shapes. For the study, we designed a psychophysical experiment using signal detection theory to determine curvature discrimination for three conditions: haptic only, visual only, and both haptic and visual. The results show that there is no statistically significant difference among the conditions although the threshold in the haptic condition is the lowest. The results also indicate that rendering using both visual and haptic channels could degrade the performance of discrimination on a 3D global shape. These results must be considered when a multimodal rendering system is designed in near future.

A Study on the detection of curve lane using Cubic Spline (Cubic Spline 곡선을 이용한 곡선 차선 인식에 관한 연구)

  • Kang, Sung-Hak;Cheong, Cha-Keon
    • Proceedings of the KIEE Conference
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    • 2004.11c
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    • pp.169-171
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    • 2004
  • This paper propose a new detection method of curve lane using Catmull-Rom spline for recognition various shape of the curve lane. To improve the accracy of lane detection, binarization and thinning process are firstly performed on the input image. Next, features on the curve lane such as curvature and orientation are extracted, and the control points of Catmull-Rom spline are detected to recognize the curve lane. Finally, Computer simulation results are given using a natural test image to show the efficiency of the proposed scheme.

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Damage detection through structural intensity and vibration based techniques

  • Petrone, G.;Carzana, A.;Ricci, F.;De Rosa, S.
    • Advances in aircraft and spacecraft science
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    • v.4 no.6
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    • pp.613-637
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    • 2017
  • The development systems for the Structural Health Monitoring has attracted considerable interest from several engineering fields during the last decades and more specifically in the aerospace one. In fact, the introduction of those systems could allow the transition of the maintenance strategy from a scheduled basis to a condition-based approach providing cost benefits for the companies. The research presented in this paper consists of a definition and next comparison of four methods applied to numerical measurements for the extraction of damage features. The first method is based on the determination of the Structural Intensity field at the on-resonance condition in order to acquire information about the dissipation of vibrational energy throughout the structure. The Damage Quantification Indicator and the Average Integrated Global Amplitude Criterion methods need the evaluation of the Frequency Response Function for a healthy plate and a damaged one. The main difference between these two parameters is their mathematical definition and therefore the accuracy of the scalar values provided as output. The fourth and last method is based on the Mode-shape Curvature, a FRF-based technique which requires the application of particular finite-difference schemes for the derivation of the curvature of the plate. All the methods have been assessed for several damage conditions (the shape, the extension and the intensity of the damage) on two test plates: an isotropic (steel) plate and a 4-plies composite plate.

An Efficient Feature Point Detection for Interactive Pen-Input Display Applications (인터액티브 펜-입력 디스플레이 애플리케이션을 위한 효과적인 특징점 추출법)

  • Kim Dae-Hyun;Kim Myoung-Jun
    • Journal of KIISE:Computer Systems and Theory
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    • v.32 no.11_12
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    • pp.705-716
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    • 2005
  • There exist many feature point detection algorithms that developed in pattern recognition research . However, interactive applications for the pen-input displays such as Tablet PCs and LCD tablets have set different goals; reliable segmentation for different drawing styles and real-time on-the-fly fieature point defection. This paper presents a curvature estimation method crucial for segmenting freeHand pen input. It considers only local shape descriptors, thus, peforming a novel curvature estimation on-the-fly while drawing on a pen-input display This has been used for pen marking recognition to build a 3D sketch-based modeling application.

Context Dependent Feature Point Detection in Digital Curves (Context를 고려한 디지털 곡선의 특징점 검출)

  • 유병민;김문현;원동호
    • Journal of the Korean Institute of Telematics and Electronics
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    • v.27 no.4
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    • pp.590-597
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    • 1990
  • To represent shape characteristics of digital closed curve, many algorithms, mainly based on local properties, have been proposed. In this paper, we propose a new algorithm for detecting local curvature maxima which reflects context, i.e., structural or surrounding regional characteristics. The algorithm does not require the value of k as an input parameter which is the major problem in k-curvature method in digital curve, but calculates it at each point depening on the context. The algorithm has been applied to two dimensional image boundaries. The efficiency of the algorithm is addressed by comparing the result of existing contest dependent algorithm.

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A new damage detection indicator for beams based on mode shape data

  • Yazdanpanah, O.;Seyedpoor, S.M.;Bengar, H. Akbarzadeh
    • Structural Engineering and Mechanics
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    • v.53 no.4
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    • pp.725-744
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    • 2015
  • In this paper, a new damage indicator based on mode shape data is introduced to identify damage in beam structures. In order to construct the indicator proposed, the mode shape, mode shape slope and mode shape curvature of a beam before and after damage are utilized. Mode shape data of the beam are first obtained here using a finite element modeling and then the slope and curvature of mode shape are evaluated via the central finite difference method. In order to assess the robustness of the proposed indicator, two test examples including a simply supported beam and a two-span beam are considered. Numerical results demonstrate that using the proposed indicator, the location of single and multiple damage cases having different characteristics can be accurately determined. Moreover, the indicator shows a better performance when compared with a well-known indicator found in the literature.

A Study on the Assessment of Blind Spot Detection for Road Alignment (도로 선형에 따른 사각지역 감시장치 평가에 관한 연구)

  • Lee, Hongguk;Park, Hwanseo;Chang, Kyungjin;Yoo, Songmin
    • Journal of Auto-vehicle Safety Association
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    • v.4 no.1
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    • pp.27-32
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    • 2012
  • Recently, in order to reduce traffic accident related fatalities, increasing number of studies are conducted regarding the vehicle safety enhancement devices. But very few studies about test procedures and requirements for vehicle safety systems are being carried out. Since BSD, as one of the most important safety features, is installed on a new vehicle, its performance test method has to be evaluated. Independent factors irrelevant to the device types including collision position, vehicle speed and closing speed are used to calculate test distance away from the current vehicle. Effect of roadway geometry as radius of curvature is introduced to propose possible misjudgement of following vehicle as adjacent one. The study results would be utilized to enhance the test procedure of BSD performance.

Detection and segmentation of circular shaped objects using spatial information on boundary neighborhood (테두리 주위의 공간정보를 이용한 둥근 물체의 검색 및 분할)

  • 성효경;김성완;최흥문
    • Journal of the Korean Institute of Telematics and Electronics S
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    • v.34S no.6
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    • pp.30-37
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    • 1997
  • We present an efficient technique, bidirectioanl inertial maximum cost search technique, for th edetection and segmentation of circular shaped objects using the spatial information around the neighborhood of the boundary candidates. This technique searches boundary candidates using local pixdl information such as pixel value and its direction. And then to exclude pseudo-boundary caused by shadows or noises, the local contrast is defined between the clique of the boundary candidates and the cliques of the background. In order to effectively segment circular shaped boundary, the technique also uses the curvature based on trigonometirc function which determines circular shaped boundary segments. Since the proposed technique is applied to the pixel cliques instead of a pixel itself, it is proposed method can easily find out circular boundaries form iamges of the PCB containing circular shaped parts and the trees with round fruits compared to boundary detection by using the pixel information and the laplacian curvature.

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