• 제목/요약/키워드: three dimensional vision

검색결과 221건 처리시간 0.03초

A Comparison Study of Colour Perception considering Peripheral Vision on Display Device (디스플레이상에서 주변시를 고려한 색채 인지 비교 연구)

  • Hong, Ji-Young;Park, Yun-Sun
    • The Journal of the Institute of Internet, Broadcasting and Communication
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    • 제16권1호
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    • pp.43-53
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    • 2016
  • In this study, under the assumption that there may be differences in colour attributes that can be perceived according to the brightness of the background and the size of the colour stimulus, a test was conducted where colour matching was done for stimulus sizes of $10^{\circ}$ and $20^{\circ}$ in terms of peripheral vision by varying the background brightness. The test results showed that depending on the background brightness and the specific combinations of the Munsell colour attributes used as the test stimulus, colours can be perceived differently even if they are the same colours. In addition, in contrast to findings from previous studies on colour perception according to the stimulus size, it was found that even if the size of the colour stimulus is relatively small, colours can be perceived more colourfully or more brightly with changes in the background brightness. Based on the findings of this study, degradation in image quality can be improved, which may occur when the size of the input image is changed at a later time, and also, contributions can be made when it comes to the reproduction of effective sold three-dimensional structures that reflect visual qualities when processing 3D holographic imagery, in addition to 2D imagery.

Estimation of a Driver's Physical Condition Using Real-time Vision System (실시간 비전 시스템을 이용한 운전자 신체적 상태 추정)

  • Kim, Jong-Il;Ahn, Hyun-Sik;Jeong, Gu-Min;Moon, Chan-Woo
    • The Journal of the Institute of Internet, Broadcasting and Communication
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    • 제9권5호
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    • pp.213-224
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    • 2009
  • This paper presents a new algorithm for estimating a driver's physical condition using real-time vision system and performs experimentation for real facial image data. The system relies on a face recognition to robustly track the center points and sizes of person's two pupils, and two side edge points of the mouth. The face recognition constitutes the color statistics by YUV color space together with geometrical model of a typical face. The system can classify the rotation in all viewing directions, to detect eye/mouth occlusion, eye blinking and eye closure, and to recover the three dimensional gaze of the eyes. These are utilized to determine the carelessness and drowsiness of the driver. Finally, experimental results have demonstrated the validity and the applicability of the proposed method for the estimation of a driver's physical condition.

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Moving Object Extraction and Relative Depth Estimation of Backgrould regions in Video Sequences (동영상에서 물체의 추출과 배경영역의 상대적인 깊이 추정)

  • Park Young-Min;Chang Chu-Seok
    • The KIPS Transactions:PartB
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    • 제12B권3호
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    • pp.247-256
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    • 2005
  • One of the classic research problems in computer vision is that of stereo, i.e., the reconstruction of three dimensional shape from two or more images. This paper deals with the problem of extracting depth information of non-rigid dynamic 3D scenes from general 2D video sequences taken by monocular camera, such as movies, documentaries, and dramas. Depth of the blocks are extracted from the resultant block motions throughout following two steps: (i) calculation of global parameters concerned with camera translations and focal length using the locations of blocks and their motions, (ii) calculation of each block depth relative to average image depth using the global parameters and the location of the block and its motion, Both singular and non-singular cases are experimented with various video sequences. The resultant relative depths and ego-motion object shapes are virtually identical to human vision.

Gaussian Blending: Improved 3D Gaussian Splatting for Model Light-Weighting and Deep Learning-Based Performance Enhancement

  • Yeong-In Lee;Jin-Nyeong Heo;Ji-Hwan Moon;Ha-Young Kim
    • Journal of the Korea Society of Computer and Information
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    • 제29권8호
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    • pp.23-32
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    • 2024
  • NVS (Novel View Synthesis) is a field in computer vision that reconstructs new views of a scene from a set of input views. Real-time rendering and high performance are essential for NVS technology to be effectively utilized in various applications. Recently, 3D-GS (3D Gaussian Splatting) has gained popularity due to its faster training and inference times compared to those of NeRF (Neural Radiance Fields)-based methodologies. However, since 3D-GS reconstructs a 3D (Three-Dimensional) scene by splitting and cloning (Density Control) Gaussian points, the number of Gaussian points continuously increases, causing the model to become heavier as training progresses. To address this issue, we propose two methodologies: 1) Gaussian blending, an improved density control methodology that removes unnecessary Gaussian points, and 2) a performance enhancement methodology using a depth estimation model to minimize the loss in representation caused by the blending of Gaussian points. Experiments on the Tanks and Temples Dataset show that the proposed methodologies reduce the number of Gaussian points by up to 4% while maintaining performance.

Unsupervised Incremental Learning of Associative Cubes with Orthogonal Kernels

  • Kang, Hoon;Ha, Joonsoo;Shin, Jangbeom;Lee, Hong Gi;Wang, Yang
    • Journal of the Korean Institute of Intelligent Systems
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    • 제25권1호
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    • pp.97-104
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    • 2015
  • An 'associative cube', a class of auto-associative memories, is revisited here, in which training data and hidden orthogonal basis functions such as wavelet packets or Fourier kernels, are combined in the weight cube. This weight cube has hidden units in its depth, represented by a three dimensional cubic structure. We develop an unsupervised incremental learning mechanism based upon the adaptive least squares method. Training data are mapped into orthogonal basis vectors in a least-squares sense by updating the weights which minimize an energy function. Therefore, a prescribed orthogonal kernel is incrementally assigned to an incoming data. Next, we show how a decoding procedure finds the closest one with a competitive network in the hidden layer. As noisy test data are applied to an associative cube, the nearest one among the original training data are restored in an optimal sense. The simulation results confirm robustness of associative cubes even if test data are heavily distorted by various types of noise.

3D Extraction Method Using a Low Cost Line Laser (라인레이저를 이용한 3D 모델 추출 방법)

  • Yun, Chun Ho;Kim, Tae Gi;Cho, Yong Wook;Nam, Gi Won;Yim, Choong Hyuk
    • Journal of the Korean Society of Manufacturing Technology Engineers
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    • 제26권1호
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    • pp.108-113
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    • 2017
  • In this paper, we proposed a three-dimensional(3D) scanning system based on laser vision technique for 3D model reconstruction. The proposed scanning system consists of line laser, camera, and turntable. We implemented the 3D scanning system using low quality elements. Although these are low quality elements, we reduced the 3D data reconstruction errors greatly using two methods. First, we developed a maximum brightness detection algorithm. This algorithm extracts the maximum brightness of the line laser to obtain the shape of the object. Second, we designed a new laser control device. This device helps to adjust the relative position of the turntable and line laser. These two methods greatly reduce the measuring noise. As a result, point cloud data can be obtained without complicated calculations.

A study on the library of 'The Name of the Rose' as a Haptic space (촉지적 공간으로서의 영화 '장미의 이름'의 장서각에 관한 연구)

  • Park, Miyoung;Joh, Hahn
    • Korean Institute of Interior Design Journal
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    • 제22권2호
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    • pp.100-111
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    • 2013
  • The theories of optical/haptic perception provide us contrasting insights into the perception of space in movie and architecture. Through the lenses of these theories, this study aims to analyse the optical and haptical aspect of the medieval library of the film, The Name of the Rose. The dominance of vision over the other senses has been maintained by many philosophers, such as Plato, Aristotle, and Aquinas, and this trend leads to the development of the hierarchical and perspective space of Renaissance and Modern Architecture. Those conceptions of optical space help us not only identify space as clear and distinct three-dimensional entity but also separate the subject and the object. However, tactile/haptic perception is more useful to explain the experience of film and contemporary architecture than optical perception. This haptic space is developed by Alois Riegl, Walter Benjamin, and Gilles Deleuze. This study intends to search for the difference between two perceptions on the architectural space of the movie, examine the relation between architecture and human, space and user.

Recognition method of stripe waves projected to bodies using HMM (인체에 투사된 스트라이프 파형의 HMM을 이용한 인식방안)

  • Seok Hyun-tack;Kwak Kyung-sup
    • Journal of the Institute of Electronics Engineers of Korea CI
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    • 제42권1호
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    • pp.51-58
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    • 2005
  • we can set laser patterns with 3D information from vision camera after projected to object with laser stripes. They are very useful for 3-Dimensional informations. We researched the laser patterns of human body projected by stripes and found out three featuring patterns and made database of patterns using Fourier descriptors to recognize the patterns of bodies. The HMM method and Fourier descriptors to recognize human body were experimented. We found out HMM method can recognize human body in more efficient rate than the other.

On the Recognition of the Occluded Objects Using Matching Probability (정합확률을 이용한 겹쳐진 물체의 인식에 대하여)

  • Nam, Ki-Gon;lee, Soo-Dong;Lee, Ryang-Sung
    • Journal of the Korean Institute of Telematics and Electronics
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    • 제26권1호
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    • pp.20-28
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    • 1989
  • The recognition of partially occluded objects is of prime importance for industrial machine vision applications and to solve real provlems in factory automation. This paper describes a method tc solve the problem of occlusion in a two dimensional scene. The technique consists of three steps: searching of border, extracting of line segments and clustering of hypotheses by matching probability. Computer simulation results have been tested for 20 scenes contained the 80 models, and have obtained 95% of properly correct recognition rate on the average.

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Visual Sensing of the Light Spot of a Laser Pointer for Robotic Applications

  • Park, Sung-Ho;Kim, Dong Uk;Do, Yongtae
    • Journal of Sensor Science and Technology
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    • 제27권4호
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    • pp.216-220
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    • 2018
  • In this paper, we present visual sensing techniques that can be used to teach a robot using a laser pointer. The light spot of an off-the-shelf laser pointer is detected and its movement is tracked on consecutive images of a camera. The three-dimensional position of the spot is calculated using stereo cameras. The light spot on the image is detected based on its color, brightness, and shape. The detection results in a binary image, and morphological processing steps are performed on the image to refine the detection. The movement of the laser spot is measured using two methods. The first is a simple method of specifying the region of interest (ROI) centered at the current location of the light spot and finding the spot within the ROI on the next image. It is assumed that the movement of the spot is not large on two consecutive images. The second method is using a Kalman filter, which has been widely employed in trajectory estimation problems. In our simulation study of various cases, Kalman filtering shows better results mostly. However, there is a problem of fitting the system model of the filter to the pattern of the spot movement.