• Title/Summary/Keyword: Visual Depth

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Ghosted Illustration Rendering using Depth-based Blending Techniques (깊이 기반 블렌딩 기술을 활용한 고스트 일러스트레이션 렌더링)

  • Kim, Dongjoon;Shin, Yeong-Gil
    • Journal of the Korea Computer Graphics Society
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    • v.26 no.3
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    • pp.1-8
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    • 2020
  • Ghosted illustration is an effective tool to simultaneously visualize interior and exterior structures while preserving clear shape cues. We propose a novel framework that combines 3D blending technique, which uses depth information of the target structure, with the conventional ghosted illustration framework. This combination facilitates natural blending effects tailored to the needs of ghosted illustration. Furthermore, we present how common manipulation techniques (e.g., masking) and illustrative rendering effects (e.g., silhouette mapping) can be integrated into the proposed framework to preserve both clear shape cues and depth cues. For the compositing techniques, we show and discuss the visual results obtained from various combinations of them. This demonstrates that the proposed framework can be an effective tool for ghost illustration.

3D Point Clouds Encryption Method and Analysis of Encryption Ratio in Holographic Reconstruction Image (3D 공간정보 암호화 기법과 홀로그래픽 복원영상의 암호화 효율 분석)

  • Choi, Hyun-Jun;Seo, Young-Ho
    • Journal of the Korea Institute of Information and Communication Engineering
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    • v.21 no.9
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    • pp.1703-1710
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    • 2017
  • This paper propose a 3D point clouds (depth) security technique for digital holographic display service. Image contents encryption is a method to provide only authorized right owners with the original image information by encrypting the entire image or a part of the image. The proposed method detected an edge from a depth and performed quad tree decomposition, and then performed encryption. And encrypts the most significant block among the divided blocks. The encryption effect was evaluated numerically and visually. The experimental results showed that encrypting only 0.43% of the entire data was enough to hide the constants of the original depth. By analyzing the encryption amount and the visual characteristics, we verified a relationship between the threshold for detecting an edge-map. As the threshold for detecting an edge increased, the encryption ratio decreased with respect to the encryption amount.

Vision and Depth Information based Real-time Hand Interface Method Using Finger Joint Estimation (손가락 마디 추정을 이용한 비전 및 깊이 정보 기반 손 인터페이스 방법)

  • Park, Kiseo;Lee, Daeho;Park, Youngtae
    • Journal of Digital Convergence
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    • v.11 no.7
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    • pp.157-163
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    • 2013
  • In this paper, we propose a vision and depth information based real-time hand gesture interface method using finger joint estimation. For this, the areas of left and right hands are segmented after mapping of the visual image and depth information image, and labeling and boundary noise removal is performed. Then, the centroid point and rotation angle of each hand area are calculated. Afterwards, a circle is expanded at following pattern from a centroid point of the hand to detect joint points and end points of the finger by obtaining the midway points of the hand boundary crossing and the hand model is recognized. Experimental results that our method enabled fingertip distinction and recognized various hand gestures fast and accurately. As a result of the experiment on various hand poses with the hidden fingers using both hands, the accuracy showed over 90% and the performance indicated over 25 fps. The proposed method can be used as a without contacts input interface in HCI control, education, and game applications.

DOF Correction of Heterogeneous Stereoscopic Cameras (이종 입체영상 카메라의 피사계심도 일치화)

  • Choi, Sung-In;Park, Soon-Yong
    • Journal of the Institute of Electronics and Information Engineers
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    • v.51 no.7
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    • pp.169-179
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    • 2014
  • In this paper, we propose a DOF (Depth of Field) correction technique by determining the values of the internal parameters of a 3-D camera which consists of stereoscopic cameras of different optical properties. If there is any difference in the size or the depth range of focused objects in the left and right stereoscopic images, it could cause visual fatigue to human viewers. The object size of in the stereoscopic image is corrected by the LUT of zoom lenses, and the forward and backward DOF are corrected by the object distance. Then the F-numbers are determined to adjust the optical properties of the camera for DOF correction. By applying the proposed technique to a main-sub type 3-D camera using a GUI-based DOF simulator, the DOF of the camera is automatically corrected.

Development of Motion Recognition and Real-time Positioning Technology for Radiotherapy Patients Using Depth Camera and YOLOAddSeg Algorithm (뎁스카메라와 YOLOAddSeg 알고리즘을 이용한 방사선치료환자 미세동작인식 및 실시간 위치보정기술 개발)

  • Ki Yong Park;Gyu Ha Ryu
    • Journal of Biomedical Engineering Research
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    • v.44 no.2
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    • pp.125-138
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    • 2023
  • The development of AI systems for radiation therapy is important to improve the accuracy, effectiveness, and safety of cancer treatment. The current system has the disadvantage of monitoring patients using CCTV, which can cause errors and mistakes in the treatment process, which can lead to misalignment of radiation. Developed the PMRP system, an AI automation system that uses depth cameras to measure patient's fine movements, segment patient's body into parts, align Z values of depth cameras with Z values, and transmit measured feedback to positioning devices in real time, monitoring errors and treatments. The need for such a system began because the CCTV visual monitoring system could not detect fine movements, Z-direction movements, and body part movements, hindering improvement of radiation therapy performance and increasing the risk of side effects in normal tissues. This study could provide the development of a field of radiotherapy that lags in many parts of the world, along with the economic and social importance of developing an independent platform for radiotherapy devices. This study verified its effectiveness and efficiency with data through phantom experiments, and future studies aim to help improve treatment performance by improving the posture correction mechanism and correcting left and right up and down movements in real time.

Estimation on Filling Performance of Thixotropic Grout for Increasing Front-Water Depth of Gravity-Type Quay Wall (중력식 안벽 구조물의 증심 시공을 위한 가소성 그라우트의 충진성능 평가)

  • Jang, Kyong-Pil;Ryu, Yong-Sun;Kwon, Seung-Hee;Han, Woon-Woo;Oh, Myong-Hak
    • Journal of the Korea institute for structural maintenance and inspection
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    • v.21 no.6
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    • pp.169-177
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    • 2017
  • Recently, as the size of transportation vessels has increased, there is a growing need for securing the front-water depths of existing port facilities. The method of deepening front-water depth is securing the depth of the port facility, and it is reinforced by grouting after excavating the rubble-mound to the required depth. The purpose of this study is to investigate the reinforcing performance and filling performance of thixotropic grout as a grouting material for reinforcing rubble-mound. Compressive strength tests were carried out for two types of thixotropic grout, and 5 specimens with a diameter of 400 mm and a height of 530 mm were manufactured and evaluated for filling performance. The required strength of reinforced rubble-mound required to ensure the safety of the structure is 6 MPa. All the thixotropic grouts used in this study were found to satisfy the required strength over 9 MPa at 7 days of age. As a result of visual observation of filling state of the filling performance test specimens, it was confirmed that the thixotropic grout was well filled up to the desired fillet height.

Video Content Manipulation Using 3D Analysis for MPEG-4

  • Sull, Sanghoon
    • Journal of Broadcast Engineering
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    • v.2 no.2
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    • pp.125-135
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    • 1997
  • This paper is concerned with realistic mainpulation of content in video sequences. Manipulation of content in video sequences is one of the content-based functionalities for MPEG-4 Visual standard. We present an approach to synthesizing video sequences by using the intermediate outputs of three-dimensional (3D) motion and depth analysis. For concreteness, we focus on video showing 3D motion of an observer relative to a scene containing planar runways (or roads). We first present a simple runway (or road) model. Then, we describe a method of identifying the runway (or road) boundary in the image using the Point of Heading Direction (PHD) which is defined as the image of, the ray along which a camera moves. The 3D motion of the camera is obtained from one of the existing 3D analysis methods. Then, a video sequence containing a runway is manipulated by (i) coloring the scene part above a vanishing line, say blue, to show sky, (ii) filling in the occluded scene parts, and (iii) overlaying the identified runway edges and placing yellow disks in them, simulating lights. Experimental results for a real video sequence are presented.

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Mobile Robot Obstacle Avoidance using Visual Detection of a Moving Object (동적 물체의 비전 검출을 통한 이동로봇의 장애물 회피)

  • Kim, In-Kwen;Song, Jae-Bok
    • The Journal of Korea Robotics Society
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    • v.3 no.3
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    • pp.212-218
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    • 2008
  • Collision avoidance is a fundamental and important task of an autonomous mobile robot for safe navigation in real environments with high uncertainty. Obstacles are classified into static and dynamic obstacles. It is difficult to avoid dynamic obstacles because the positions of dynamic obstacles are likely to change at any time. This paper proposes a scheme for vision-based avoidance of dynamic obstacles. This approach extracts object candidates that can be considered moving objects based on the labeling algorithm using depth information. Then it detects moving objects among object candidates using motion vectors. In case the motion vectors are not extracted, it can still detect the moving objects stably through their color information. A robot avoids the dynamic obstacle using the dynamic window approach (DWA) with the object path estimated from the information of the detected obstacles. The DWA is a well known technique for reactive collision avoidance. This paper also proposes an algorithm which autonomously registers the obstacle color. Therefore, a robot can navigate more safely and efficiently with the proposed scheme.

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Image-based Robust Control of Robot Manipulators with Image Jacobian and Dynamics Uncertainties (영상 자코비안 및 동특성 불확실성을 포함하는 로봇 매니퓰레이터의 영상기반 강인제어)

  • Kim, Chin-Su;Mo, Eun-Jong;Lee, Kang-Woong
    • Journal of Institute of Control, Robotics and Systems
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    • v.14 no.10
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    • pp.1047-1052
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    • 2008
  • In this paper, we design an image-based robust controller to compensate uncertainties with image Jacobian and robot dynamics due to uncertain depth measurement and load variations. The proposed controller with eye-in-hand structure has separate terms to compensate each of uncertainties. The ultimate boundedness of the closed-loop system is proved by the Lyapunov approach. The performance of the proposed control system is demonstrated by simulation and experimental results a 5-link robot manipulator with two degree of freedom.

Volumetric 3D Display System Based on Rotating Dot-Matrix LEDs

  • Lin, Yuanfang;Liu, Xu;Zhang, Xiaojie;Yao, Yi;Liu, Xiangdong
    • 한국정보디스플레이학회:학술대회논문집
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    • 2004.08a
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    • pp.440-441
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    • 2004
  • A volumetric three-dimensional (3D) display system was presented, which utilizes a rotating two-dimensional (2D) display panel of light emitting diodes (LEDs) to generate more than 10 million volume pixels (voxels) within a cylindrical volume of 165 mm in height and 292 mm in diameter. Due to persistence of vision, momentarily addressed voxel information is perceived and fused into a 3D image. Important cues for depth perception, such as binocular parallax, accommodation, convergence and motion parallax are satisfied automatically and naturally, thus it is suitable for individual or group viewing, without the need for any special visual aids.

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