• Title/Summary/Keyword: Gradients

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Intensity Gradients-based Stereo Matching of Road Images (에지정보를 이용한 도로영상의 스테레오 정합)

  • 이기용;이준웅
    • Transactions of the Korean Society of Automotive Engineers
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    • v.11 no.1
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    • pp.201-210
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    • 2003
  • In this paper, we propose a new binocular stereo correspondence method by maximizing a fitness formulated by integrating two constraints of edge similarity and disparity smoothness simultaneously. The proposed stereopsis focusing to measure distances to leading vehicles on roads uses intensity gradients as matching attribute. In contrast to the previous work of area-based stereo matching, in which matching unit is a pixel, the matching unit of the proposed method becomes an area itself which is obtained by selecting a series of pixels enclosed by two pixels on the left and right boundaries of an object. This approach allows us to cope with real-time processing and to avoid window size selection problems arising from conventional area-based stereo.

The Estimation of Source Locations Based on Potential Gradients of In terpolation Polynomials of EEG Records (Interpolated EEG신호의 전위경사를 이용한 Source Location 추정)

  • 이용희;이응구
    • Journal of Biomedical Engineering Research
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    • v.15 no.1
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    • pp.105-110
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    • 1994
  • In this paper, we present a method to evaluate source locations and distributed region which is specified brain activity, as indicated by locations and strengths of intracranial sources, using potential gradients of interpolation polynomials and topographic mapping of the EEG records. This method can analyze the variance of source temporally or spatially and leads to enable a quantitative evaluation of potential gradients drawing methods which is now being used in the clinic. In the result, we obtained the overall potentials distribution on the entire scalp and the information of potential source locations from the EEG records of a patient which was known to epilepsy.

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Contrast HOG and Feature Spatial Relocation based Two Wheeler Detection Research using Adaboost

  • Lee, Yeunghak;Shim, Jaechang
    • Journal of Multimedia Information System
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    • v.4 no.1
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    • pp.33-38
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    • 2017
  • This article suggests a new algorithm for detecting two-wheelers on the road that have various shapes according to viewpoints. Because of complicated shapes, it is more difficult than detecting a human. In general, the Histograms of Oriented Gradients(HOG) feature is well known as a useful method of detecting a standing human. We propose a method of detecting a human on a two-wheelers using the spatial relocation of HOG (Histogram of Oriented Gradients) features. And this paper adapted the contrast method which is generally using in the image process to improve the detection rate. Our experimental results show that a two-wheelers detection system based on proposed approach leads to higher detection accuracy, less computation, and similar detection time than traditional features.

Radial gradients of line indices within the Galactic globular clusters

  • Jo, Jae-Il;Yun, Seok-Jin
    • The Bulletin of The Korean Astronomical Society
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    • v.35 no.2
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    • pp.84.2-84.2
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    • 2010
  • Radial changes of stellar population within the Galactic globular clusters have been reported in many spectroscopic and photometric studies. We present new integrated spectroscopic data for 24 Galactic globular clusters and have measured line indices within various aperture sizes. Radial gradients have been investigated for the Balmer lines and metal lines (Mgb). Our results show an increase in the strength of the Balmer lines toward the centres in some clusters including NGC7078, NGC7089, and NGC6934, in which colour gradients also have been detected previously. However, some other clusters show little trend or even an increase toward the outskirt in the Balmer lines. Metal sensitive lines generally have an anti-correlation with the Balmer lines. We discuss possible stellar populations being responsible for the radial change in line indices.

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Correlation between Magnetic-field directions and intensity gradients in Orion A region

  • Hwang, Jihye;Kim, Jongsoo
    • The Bulletin of The Korean Astronomical Society
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    • v.43 no.1
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    • pp.67.2-67.2
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    • 2018
  • Magnetic fields play an important role in star-forming processes by regulating gravitational collapse. In filamentary structures of star-forming regions, magnetic fields are likely to be aligned with minor axes of filamentary molecular clouds because matter freely moves along magnetic field lines. Orion A region, one of the well-known high-mass star forming regions, has long filament structure. In order to study magnetic field directions with respect to the filamentary structure in Orion A, we have analyzed $850{\mu}m$ dust polarization observations obtained with the James Clerk Maxwell Telescope (JCMT). We found tight correlation of dust intensity gradients and magnetic field directions. It was estimated that 81% of magnetic field segments are aligned with density gradients within 40 degree. In conclusion, we confirmed most of magnetic field segments are perpendicular to the major axis of the filament in Orion A.

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Evaluation of turbulence models in rough-wall boundary layers for hydroelectric applications

  • Dutta, Rabijit;Nicolle, Jonathan;Giroux, Anne-Marie;Piomelli, Ugo
    • International Journal of Fluid Machinery and Systems
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    • v.10 no.3
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    • pp.227-239
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    • 2017
  • The accuracy of turbulence models for the Reynolds-Averaged Navier-Stokes (RANS) equations in rough-wall flows is evaluated using data from large-eddy simulations (LES) of boundary layers with favourable and adverse pressure gradients. Some features of the flow (such as flow reversal in the roughness sublayer) cannot be captured accurately by any model, due to the fundamental model formulation. In mild pressure gradients most RANS models are sufficiently accurate for engineering applications, but if strong favourable or adverse pressure gradients are applied (especially those leading to separation) the model performance rapidly degrades.

The Selection of Heterokaryon by the Use of Different Buoyant Density of Protoplasts. (식물세포의 부유밀도를 이용한 융합원형질체의 선발)

  • 김남원;박지창;김갑식;최광태
    • Journal of the Korean Society of Tobacco Science
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    • v.11 no.2
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    • pp.233-240
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    • 1989
  • This experiment was carried out to select of heterokaryon based on the different buoyant densities of protoplasts. Protoplats were isolated from cultured cells (calli) of Nicotiana tobacum(cv. BY4) and from mesophyll cells of N. glauca. The two types of protoplats were fractionated by centrifugation in an iso-osmotic (770 mOs/kg. H2O) density gradients condition. Major difference in the buoyant density exists between two types of protoplasts isolated from different cells. The mesophyll protoplasts were fractionated in the higher gradient interphases than that of callus protoplasts. The two types of fractionated protoplasts were fused with 40% polyethylene glycol (PEG), and the protoplasts treated with PEG were separated by centrifugation in the same density gradients condition. The heterokaryons were fractionated in the intermediate density gradients.

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Formation of Shear Texture and Microstructure in AA3004 Sheet (AA3004에서 전단변형 미세조직 및 집합조직의 형성)

  • 이강노;김종국;김훈동;황병복;허무영
    • Proceedings of the Korean Society for Technology of Plasticity Conference
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    • 2002.05a
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    • pp.184-186
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    • 2002
  • The evolution of texture and microstructure during warm rolling and subsequent annealing in aluminium 3004 alloy sheet was investigated by X-ray texture measurements and microstructure observations. Warm rolling at 250$^{\circ}C$ led to the development of strong through thickness texture gradients with shear textures at the surface layer and a regular rolling texture in the center of the sheets. FEM simulations indicated that these texture gradients are caused by pronounced strain gradients throughout the sheet thickness. Upon recrystallization annealing, in the sheet center the characteristic cube-recrystallization texture developed, while in the surface layers with a pronounced shear texture continuous recrystallization took place which led to the formation of a very fine grained microstructure. It is concluded that the very complex strain history in the near-surface layers together with the resulting high work-hardening rate gave rise to the formation of the ultra-fine grains with an average size smaller than 2$\mu\textrm{m}$.

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Presteaming Effect on Properties of Native Oak Lumber (증기전처리(蒸氣前處理)에 의한 국내(國內)참나무재(材)의 성질변화(性質變化)에 관한 연구(硏究))

  • Kang, Ho-Yang
    • Journal of the Korean Wood Science and Technology
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    • v.20 no.2
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    • pp.73-80
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    • 1992
  • The effect of presteaming on native oak specimens(Quercus serrata) of 2.5cm thick were investigated by measuring specific gravities, internal moisture gradients, residual extractives, and transport rates of free and bound water. The specific gravities and internal moisture gradients of the presteamed samples did not much deviate from those of the controls, but after presteaming discrepancy in moisture content between specimens lessened. The amount of residual hot-water extractives of the presteamed samples were less than those of the controls by 25%. The transport rates of bound water were determined by measuring steady-state diffusion coefficients with a vapormeter cup. After presteaming the diffusion coefficients in radial direction increased by 35%, but decreased those in the tangential direction.

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Fast Pedestrian Detection Using Histogram of Oriented Gradients and Principal Components Analysis

  • Nguyen, Trung Quy;Kim, Soo Hyung;Na, In Seop
    • International Journal of Contents
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    • v.9 no.3
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    • pp.1-9
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    • 2013
  • In this paper, we propose a fast and accurate system for detecting pedestrians from a static image. Histogram of Oriented Gradients (HOG) is a well-known feature for pedestrian detection systems but extracting HOG is expensive due to its high dimensional vector. It will cause long processing time and large memory consumption in case of making a pedestrian detection system on high resolution image or video. In order to deal with this problem, we use Principal Components Analysis (PCA) technique to reduce the dimensionality of HOG. The output of PCA will be input for a linear SVM classifier for learning and testing. The experiment results showed that our proposed method reduces processing time but still maintains the similar detection rate. We got twenty five times faster than original HOG feature.