• 제목/요약/키워드: 3D Convolution

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EVALUATION OF THE CONVOLUTION SUMS Σak+bl+cm=n σ(k)σ(l)σ(m), Σal+bm=n lσ(l)σ(m) AND Σal+bm=n σ3(l)σ(m) FOR DIVISORS a, b, c OF 10

  • PARK, YOON KYUNG
    • Journal of applied mathematics & informatics
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    • 제40권5_6호
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    • pp.813-830
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    • 2022
  • The generating functions of the divisor function σs(n) = Σ0<d|n ds are quasimodular forms. In this paper, we find the basis of the space of quasimodular forms of weight 6 on Γ0(10) consisting of Eisenstein series and η-quotients. Then we evaluate the convolution sum Σak+bl+cm=n σ(k)σ(l)σ(m) with lcm(a, b, c) = 10 and Σal+bm=n lσ(l)σ(m) and Σal+bm=n σ3(l)σ(m) with lcm(a, b) = 10.

주파수와 감쇠비 변화에 강인한 Convolution 입력성형기 설계 (Design of Robust Convolution Input Shaper for the Variation of Frequency and Damping Ratio)

  • 박운환;이재원;임병덕
    • 대한기계학회논문집A
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    • 제26권1호
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    • pp.67-73
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    • 2002
  • The flexibility of long reach manipulators presents a difficult control problem when accurate end-point position is required. Input shaping by convolving system commands with impulse sequences has been shown to be an effective method of reducing residual vibrations in flexible systems. However, existing shapers have been considered robustness fur only frequency uncertainty. However, this paper presents new multi-hump convolution(CV) input shaper that could accommodate with the simultaneous variation of natural frequency and damping ratio. Comparisons with previously proposed input shapers are presented to illustrate the qualities of the new input shaper. These new shapers will be shown to have better robustness fur the variation of frequency and damping ratio.

파라메터 변화에 강인한 Convolution 입력성형기 설계 (Design of Robust Convolution Input Shaper for Variation of Parameter)

  • 박운환;이재원;임병덕
    • 대한기계학회:학술대회논문집
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    • 대한기계학회 2001년도 춘계학술대회논문집B
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    • pp.127-133
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    • 2001
  • The flexibility of long reach manipulators presents a difficult control problem when accurate end-point position is required. Input shaping by convolving system commands with impulse sequences has been shown to be an effective method of reducing residual vibrations in flexible systems. However, existing shapers has been considered robustness for only frequency uncertainty. However, this paper presents new multi-hump convolution(CV) input shaper that could accommodate with the simultaneous variation of natural frequency and damping ratio. Comparisons with previously proposed input shapers are presented to illustrate the qualities of the new input shaper. These new shapers will be shown to have better robustness for the variation of frequency and damping ratio.

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CONVOLUTION SUMS ARISING FROM DIVISOR FUNCTIONS

  • Kim, Aeran;Kim, Daeyeoul;Yan, Li
    • 대한수학회지
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    • 제50권2호
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    • pp.331-360
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    • 2013
  • Let ${\sigma}_s(N)$ denote the sum of the sth powers of the positive divisors of a positive integer N and let $\tilde{\sigma}_s(N)={\sum}_{d|N}(-1)^{d-1}d^s$ with $d$, N, and s positive integers. Hahn [12] proved that $$16\sum_{k. In this paper, we give a generalization of Hahn's result. Furthermore, we find the formula ${\sum}_{k=1}^{N-1}\tilde{\sigma}_1(2^{n-m}k)\tilde{\sigma}_3(2^nN-2^nk)$ for $m(0{\leq}m{\leq}n)$.

CONVOLUTION SUMS OF ODD AND EVEN DIVISOR FUNCTIONS

  • Kim, Daeyeoul
    • 호남수학학술지
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    • 제35권3호
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    • pp.445-506
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    • 2013
  • Let ${\sigma}_s(N)$ denote the sum of the s-th power of the positive divisors of N and ${\sigma}_{s,r}(N;m)={\sum_{d{\mid}N\\d{\equiv}r\;mod\;m}}\;d^s$ with $N,m,r,s,d{\in}\mathbb{Z}$, $d,s$ > 0 and $r{\geq}0$. In a celebrated paper [33], Ramanuja proved $\sum_{k=1}^{N-1}{\sigma}_1(k){\sigma}_1(N-k)=\frac{5}{12}{\sigma}_3(N)+\frac{1}{12}{\sigma}_1(N)-\frac{6}{12}N{\sigma}_1(N)$ using elementary arguments. The coefficients' relation in this identity ($\frac{5}{12}+\frac{1}{12}-\frac{6}{12}=0$) motivated us to write this article. In this article, we found the convolution sums $\sum_{k&lt;N/m}{\sigma}_{1,i}(dk;2){\sigma}_{1,j}(N-mk;2)$ for odd and even divisor functions with $i,j=0,1$, $m=1,2,4$, and $d{\mid}m$. If N is an odd positive integer, $i,j=0,1$, $m=1,2,4$, $s=0,1,2$, and $d{\mid}m{\mid}2^s$, then there exist $u,a,b,c{\in}\mathbb{Z}$ satisfying $\sum_{k& lt;2^sN/m}{\sigma}_{1,i}(dk;2){\sigma}_{1,j}(2^sN-mk;2)=\frac{1}{u}[a{\sigma}_3(N)+bN{\sigma}_1(N)+c{\sigma}_1(N)]$ with $a+b+c=0$ and ($u,a,b,c$) = 1(Theorem 1.1). We also give an elementary problem (O) and solve special cases of them in (O) (Corollary 3.27).

HRTF(머리전달함수)의 샘플링를 변환에 따른 입체음향 플레이어 (3D Sound Player with various resampled HRTF′s)

  • 오재경;이동재;임철수;최범석;이원돈
    • 한국산학기술학회:학술대회논문집
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    • 한국산학기술학회 2001년도 춘계학술대회 발표논문집
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    • pp.199-202
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    • 2001
  • 본 논문에서는 3D사운드 생성 기술 중 대표적인 방법인 원음에 HRTF(머리전달함수)를 콘볼루션(convolution)하는 방식으로 음상정위 모듈을 구현하였으며 음장감을 부여하기 위하여 잔향(reverberation) 효과를 추가하고 크로스토크 현상을 제거하기 위하여 트랜스오럴 필터를 추가하였다. 본 논문에서는 sampling rate conversion을 사용하여 decimation과 interpolation을 수행하여 44.1KHz의 sampling rate로 된 coefficient를 downsample하거나 upsample한 HRTR(머리전달함수)를 사용하여 콘볼루션(convolution)을 수행했다. 본 논문에서는 3D사운드 생성과정에서 필요한 연산과정을 최소화하여 일반 PC의 computing power로도 sampling rate conversion된 데이터를 처리하여 줄 수 있는 알고리즘을 제시하고 구현하였다.

3차 회선 보간법에 적응적 매개변수를 적용한 영상 보간 (An Image Interpolation by Adaptive Parametric Cubic Convolution)

  • 유재욱;박대현;김윤
    • 한국컴퓨터정보학회논문지
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    • 제13권6호
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    • pp.163-171
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    • 2008
  • 본 논문에서는 고화질, 고해상도로 영상을 확대하기 위한 적응적인 매개변수가 적용된 3차 회선 보간법을 제안한다. 제안하는 보간법에서는 영상이 가지는 주파수 특성을 반영한 보간을 수행하기 위해 1단계 보간 과정에서 새롭게 정의한 비용함수를 이용하여 3차 회선 보간법의 매개변수를 적응적으로 구하고, 2단계 보간 과정에서는 1단계에서 구한 적응적인 매개변수를 적용하여 3차 회선 보간법을 수행한다. 영상의 주파수 특성이 고려된 적응적인 매개변수의 사용은 보간 커널의 성능을 향상시켜 동일한 매개변수를 사용하는 이전의 3차 회선 보간법보다 결과 영상의 화질이 우수하다. 컴퓨터 실험 결과를 통해 제안하는 보간법이 이전의 보간법들보다 PSNR이 약 $0.5{\sim}4dB$ 높아 객관적인 성능에서 나은 결과를 나타냈으며, 결과 영상의 확대를 통한 비교에서 영상이 부드럽고 에지가 선명하게 나타남으로 주관적 화질이 우수함을 보였다.

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Critical Review of Reconstruction Filters for Convolution Algorithm

  • Ra, Jong-Beom
    • 대한전기학회:학술대회논문집
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    • 대한전기학회 1979년도 하계 전자.전기연합학술발표회논문집
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    • pp.155-157
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    • 1979
  • The Fourier convolution algorithms are used to reconstruct a 3-D density function from the projection data sets. The convolved data are then back projected to obtain a density function. There are several choices of the weighting function for the design of the reconstruction(deblurring) filter. Present paper reviews the design of reconstruction filter considering the problems such as the effects of sampling rate, aliasing, and noise.

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3D Image Correlator using Computational Integral Imaging Reconstruction Based on Modified Convolution Property of Periodic Functions

  • Jang, Jae-Young;Shin, Donghak;Lee, Byung-Gook;Hong, Suk-Pyo;Kim, Eun-Soo
    • Journal of the Optical Society of Korea
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    • 제18권4호
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    • pp.388-394
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    • 2014
  • In this paper, we propose a three-dimensional (3D) image correlator by use of computational integral imaging reconstruction based on the modified convolution property of periodic functions (CPPF) for recognition of partially occluded objects. In the proposed correlator, elemental images of the reference and target objects are picked up by a lenslet array, and subsequently are transformed to a sub-image array which contains different perspectives according to the viewing direction. The modified version of the CPPF is applied to the sub-images. This enables us to produce the plane sub-image arrays without the magnification and superimposition processes used in the conventional methods. With the modified CPPF and the sub-image arrays, we reconstruct the reference and target plane sub-image arrays according to the reconstruction plane. 3D object recognition is performed through cross-correlations between the reference and the target plane sub-image arrays. To show the feasibility of the proposed method, some preliminary experiments on the target objects are carried out and the results are presented. Experimental results reveal that the use of plane sub-image arrays enables us to improve the correlation performance, compared to the conventional method using the computational integral imaging reconstruction algorithm.

Object Detection and Localization on Map using Multiple Camera and Lidar Point Cloud

  • Pansipansi, Leonardo John;Jang, Minseok;Lee, Yonsik
    • 한국정보통신학회:학술대회논문집
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    • 한국정보통신학회 2021년도 추계학술대회
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    • pp.422-424
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    • 2021
  • In this paper, it leads the approach of fusing multiple RGB cameras for visual objects recognition based on deep learning with convolution neural network and 3D Light Detection and Ranging (LiDAR) to observe the environment and match into a 3D world in estimating the distance and position in a form of point cloud map. The goal of perception in multiple cameras are to extract the crucial static and dynamic objects around the autonomous vehicle, especially the blind spot which assists the AV to navigate according to the goal. Numerous cameras with object detection might tend slow-going the computer process in real-time. The computer vision convolution neural network algorithm to use for eradicating this problem use must suitable also to the capacity of the hardware. The localization of classified detected objects comes from the bases of a 3D point cloud environment. But first, the LiDAR point cloud data undergo parsing, and the used algorithm is based on the 3D Euclidean clustering method which gives an accurate on localizing the objects. We evaluated the method using our dataset that comes from VLP-16 and multiple cameras and the results show the completion of the method and multi-sensor fusion strategy.

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