Results 281 to 290 of about 24,061,183 (328)

Individual plant recognition using the RGB color model

Melecon 2010 - 2010 15th IEEE Mediterranean Electrotechnical Conference, 2010
Changes in light intensity cause major difficulties in the plant recognition. In order to solve this problem, we started the development of a plant recognition method, with high efficiency in variable lighting conditions. This will be implemented to an autonomous mobile robot for weed control.
Mihaela Tilneac, Valer Dolga
openaire   +1 more source

RGB-D scene classification via heterogeneous model fusion

2016 IEEE International Conference on Image Processing (ICIP), 2016
We study the problem of scene classification for RGB-D images in this paper. Firstly we analyze the difference between the RGB and depth images. And then based on the difference, an efficient method is implemented to make use of the RGB and depth images and make a well fusion for the RGB and depth features.
Xinda Liu, Xueming Wang, Shuqiang Jiang
openaire   +1 more source

Consistent 3D models from unorganized RGB-D images

2014 IEEE 27th Canadian Conference on Electrical and Computer Engineering (CCECE), 2014
This paper presents a system for automated 3D reconstruction of unorganized RGB-D images. Our algorithm is based on image feature matching and graph theory. We use a multiple-view registration scheme based on graph connectivity in order to reduce propagation errors found in motion. We estimate motion between two-views with 3D points back-projected from
Jose David Tascon- Vidarte, Humberto Loaiza Correa   +1 more
openaire   +1 more source

FasterSal: Robust and Real-Time Single-Stream Architecture for RGB-D Salient Object Detection

IEEE transactions on multimedia
RGB-D Salient Object Detection (SOD) aims to segment the most prominent areas and objects in a given pair of RGB and depth images. Most current models adopt a dual-stream structure to extract information from both RGB and depth images.
Jin Zhang, Ruiheng Zhang, Lixin Xu, Xiankai Lu, Yushu Yu, Min Xu, He Zhao   +6 more
semanticscholar   +1 more source

Rapid Photorealistic Blendshape Modeling from RGB-D Sensors

Proceedings of the 29th International Conference on Computer Animation and Social Agents, 2016
Creating and animating realistic 3D human faces is an important element of virtual reality, video games, and other areas that involve interactive 3D graphics. In this paper, we propose a system to generate photorealistic 3D blendshape-based face models automatically using only a single consumer RGB-D sensor.
Dan Casas, Andrew Feng, Oleg Alexander, Graham Fyffe, Paul Debevec, Ryosuke Ichikari, Hao Li, Kyle Olszewski, Evan Suma, Ari Shapiro   +9 more
openaire   +1 more source

Study on moving object detection based on RGB color model

2012 2nd International Conference on Applied Robotics for the Power Industry (CARPI), 2012
The traditional background difference method is based on gray image. Some information is lost when color image is transformed into gray image. So it is difficult to discriminate different colors with similar gray values and easily disturbed by noise and shadows. In this paper, the background difference is based on RGB color model. It is proposed to use
Chun Yang Liu, Dao Zheng Hou, Chang An Liu   +2 more
openaire   +1 more source

Eye-Model-Based Gaze Estimation by RGB-D Camera

2014 IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2014
This paper proposes a method of eye-model-based gaze estimation by RGB-D camera, Kinect sensor. Different from other methods, our method sets up a model to calibrate the eyeball center by gazing at a target in 3D space, not predefined. And then by detecting the pupil center, we can estimate the gaze direction.
Li Jianfeng, Li Shigang
openaire   +1 more source

Geometric and Semantic Modeling from RGB-D Data

2019
With the increasing availability of RGB-D cameras, using RGB-D data for geometric and semantic modeling has received significant interest in recent years. Geometric modeling aims to build an accurate geometric representation for 3D objects or scenes, whereas semantic modeling focuses on analyzing and understanding semantic objects in the captured ...
Song-Hai Zhang, Yu-Kun Lai
openaire   +1 more source

AirSOD: A Lightweight Network for RGB-D Salient Object Detection

IEEE transactions on circuits and systems for video technology (Print)
Salient object detection (SOD) aims to identify the most prominent regions in images. However, the large model sizes, high computational costs, and slow inference speeds of existing RGB-D SOD models have hindered their deployment on real-world embedded ...
Zhihong Zeng, Haijun Liu, Fenglei Chen, Xiaoheng Tan   +3 more
semanticscholar   +1 more source

Toward Modalities Correlation for RGB-T Tracking

IEEE transactions on circuits and systems for video technology (Print)
Recently, RGB-T tracking methods have made significant progress, demonstrating remarkable capabilities in addressing the complexities of tracking tasks within demanding environments.
Xiantao Hu, Bineng Zhong, Qihua Liang, Shengping Zhang, Ning Li, Xianxian Li   +5 more
semanticscholar   +1 more source