Results 271 to 280 of about 16,759,811 (301)

Efficient foreground extraction using RGB-D imaging

Multimedia Tools and Applications, 2013
Image segmentation is one of the most important topics in the field of computer vision. As a result, many image segmentation approaches have been proposed, and interactive methods based on energy minimization such as GrabCut, have shown successful results.
Sang-Wook Lee, Yongho Seo, Hyun Seung Yang   +2 more
openaire   +2 more sources

A Robust RGB-D Image-Based SLAM System

2017
Visual SLAM is widely used in robotics and computer vision. Although there have been many excellent achievements over the past few decades, there are still some challenges. 2D feature-based SLAM algorithm has been suffering from the inaccurate or insufficient correspondences while dealing with the case of textureless or frequently repeating regions ...
Liangliang Pan, Jun Cheng 0002, Wei Feng 0009, Xiaopeng Ji   +3 more
openaire   +1 more source

Scale adaptive supervoxel segmentation of RGB-D image

2016 IEEE International Conference on Robotics and Biomimetics (ROBIO), 2016
Superpixels are perceptually meaningful atomic regions that can effectively capture image features. We propose a novel scale adaptive supervoxel segmentation algorithm for RGB-D images, i.e., small supervoxels in content-dense regions (e.g., with high intensity or color variation) and large supervoxels in content-sparse regions.
Peng Xu, Jie Li 0040, Juan Yue, Xia Yuan
openaire   +1 more source

An approach to loop-closing based on RGB-D images

2013 IEEE International Conference on Robotics and Biomimetics (ROBIO), 2013
To solve the problem of accuracy and robustness seriously affected by the external environment when loop-closing using vision for mobile robot, a method based on RGB-D image for loop-closing detection is proposed. The front area contour which will be used for contour matching is extracted from the depth information.
Fengda Zhao, Minzhe Sun, Xianshan Li, Xueguang Zhang   +3 more
openaire   +1 more source

Shading-Based Shape Refinement of RGB-D Images

2013 IEEE Conference on Computer Vision and Pattern Recognition, 2013
We present a shading-based shape refinement algorithm which uses a noisy, incomplete depth map from Kinect to help resolve ambiguities in shape-from-shading. In our framework, the partial depth information is used to overcome bas-relief ambiguity in normals estimation, as well as to assist in recovering relative albedos, which are needed to reliably ...
Lap-Fai Yu, Sai Kit Yeung, Yu-Wing Tai, Stephen Lin 0001   +3 more
openaire   +2 more sources

Indoor human detection using RGB-D images

2016 IEEE International Conference on Information and Automation (ICIA), 2016
Recently, RGB-D sensors such as Kinect and Xtion have received considerable attention since they provide depth image that is robust to light variation in the environment. They are mainly used for human computer interaction, surveillance and so on. In this paper, we concentrate on indoor human detection using RGB-D images.
Baopu Li, Haoyang Jin, Qi Zhang, Wei Xia 0001, Huiyun Li   +4 more
openaire   +1 more source

From RGB-D Images to RGB Images

ACM Transactions on Intelligent Systems and Technology, 2015
Mining object-level knowledge, that is, building a comprehensive category model base, from a large set of cluttered scenes presents a considerable challenge to the field of artificial intelligence. How to initiate model learning with the least human supervision (i.e., manual labeling) and how to encode the structural knowledge are two elements of this ...
Quanshi Zhang, Xuan Song 0001, Xiaowei Shao, Huijing Zhao, Ryosuke Shibasaki   +4 more
openaire   +2 more sources

Segmentation of Shipping Bags in RGB-D Images

2022 IEEE 5th International Conference on Image Processing Applications and Systems (IPAS), 2022
Elena Vasileva, Zoran A. Ivanovski
openaire   +2 more sources

Point-Based Object Recognition in RGB-D Images

2015
To operate autonomously a robot system needs among others to perceive the environment and to recognize the scene objects. In particular, nowadays an RGB-D sensor can be applied for vision-based perception. In this paper, two data-driven RGB-D image analysis steps, required for a reliable 3D object recognition process, are studied and appropriate ...
Artur Wilkowski, Tomasz Kornuta, Wlodzimierz Kasprzak   +2 more
openaire   +1 more source

Visual Camera Re-Localization From RGB and RGB-D Images Using DSAC

IEEE Transactions on Pattern Analysis and Machine Intelligence, 2022
Eric Brachmann, Carsten Rother
exaly