Results 261 to 270 of about 14,435,990 (306)

Learning monocular depth estimation for defect measurement from civil RGB-D dataset. [PDF]

Struct Health Monit
Midwinter M, Al-Sabbag ZA, Bajaj R, Yeum CM.   +3 more
europepmc   +1 more source

Efficient Learning-Based Robotic Navigation Using Feature-Based RGB-D Pose Estimation and Topological Maps. [PDF]

Entropy (Basel)
Rodríguez-Martínez EA, Miranda-Vega JE, Achakir F, Sergiyenko O, Rodríguez-Quiñonez JC, Hernández Balbuena D, Flores-Fuentes W.   +6 more
europepmc   +1 more source

Clinical Whole-Body Gait Characterization Using a Single RGB-D Sensor. [PDF]

Sensors (Basel)
Boborzi L, Bertram J, Schniepp R, Decker J, Wuehr M.   +4 more
europepmc   +1 more source

DDNet: Depth Dominant Network for Semantic Segmentation of RGB-D Images. [PDF]

Sensors (Basel)
Rong P.
europepmc   +1 more source

SGDO-SLAM: A Semantic RGB-D SLAM System with Coarse-to-Fine Dynamic Rejection and Static Weighted Optimization. [PDF]

Sensors (Basel)
Hu Q, Wang S, Chen N, Li W, Yuan J, Zheng E, Wang G, Chen W.   +7 more
europepmc   +1 more source

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RGB-D DSO: Direct Sparse Odometry With RGB-D Cameras for Indoor Scenes

IEEE Transactions on Multimedia, 2022
Visual odometry (VO) is a fundamental building block for many robotics and augmented reality (AR) applications. However, most existing RGB-D VO systems could suffer from large performance degradation when large occlusions are present or a large portion of depth values are invalid due to the limited range of an RGB-D camera, prohibiting the usage of ...
Zikang Yuan, Ken Cheng, Jinhui Tang 0001, Xin Yang 0008   +3 more
openaire   +2 more sources

Boosting RGB-D Saliency Detection by Leveraging Unlabeled RGB Images

IEEE Transactions on Image Processing, 2022
Training deep models for RGB-D salient object detection (SOD) often requires a large number of labeled RGB-D images. However, RGB-D data is not easily acquired, which limits the development of RGB-D SOD techniques.
Yi Yang, Ping Li, Siliang Tang
exaly   +2 more sources

Single RGB-D Fitting: Total Human Modeling with an RGB-D Shot

25th ACM Symposium on Virtual Reality Software and Technology, 2019
Existing single shot based human modeling methods generally cannot model the complete pose details (e.g., head and hand positions) without non-trivial interactions. We explore the merits of both RGB and depth images and propose a new method called Single RGB-D Fitting (SRDF) to generate a realistic 3D human model with a single RGB-D shot from a ...
Xianyong Fang, Jikui Yang, Jie Rao, Linbo Wang 0001, Zhigang Deng 0001   +4 more
openaire   +2 more sources

RGB-D IBR

Proceedings of the 20th ACM SIGGRAPH Symposium on Interactive 3D Graphics and Games, 2016
This paper presents an image-based rendering (IBR) system based on RGB-D images. The input of our system consists of RGB-D images captured at sparse locations in the scene and can be expanded by adding new RGB-D images. The sparsity of RGB-D images increases the usability of our system as the user need not capture a RGB-D image stream in a single shot,
Yeongyu Jeong, Haejoon Kim, Hyewon Seo, Frederic Cordier, Seungyong Lee 0001   +4 more
openaire   +2 more sources

การประมาณปริมาตรของมันสำปะหลังโดยใช้กล้อง RGB-D

2023
มันสำปะหลังเป็นพืชที่ปลูกง่ายและปลูกเป็นจำนวนมากในประเทศไทย เครื่องมือที่เกี่ยวข้องในการตรวจวัดคุณภาพมันสำปะหลังหลังการเก็บเกี่ยวจนไปถึงก่อนแปรรูปที่ใช้ในปัจจุบันเป็นเครื่องมือที่ใช้หลักการวัดทางกลพื้นฐานและใช้ความรู้สึกของผู้ประเมินร่วมด้วย ทำให้มีโอกาสที่จะได้ผลประเมินที่ไม่เป็นความจริง วิทยานิพนธ์นี้เสนอแนวทางการตรวจวัดคุณภาพมันสำปะหลังในห่วงโซ่อ ...
openaire   +1 more source