Results 31 to 40 of about 49,587 (264)
RGB-D SLAM Combining Visual Odometry and Extended Information Filter
In this paper, we present a novel RGB-D SLAM system based on visual odometry and an extended information filter, which does not require any other sensors or odometry.
Heng Zhang +3 more
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Semantic RGB-D Image Synthesis
ICCV Workshop on Representation Learning with Very Limited Images ...
Shijie Li 0006, Rong Li, Juergen Gall
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Visual Odometry for RGB-D Cameras
Visual odometry is the process of estimating the position and orientation of a camera by analyzing the images associated to it. This paper develops a quick and accurate approach to visual odometry of a moving RGB-D camera navigating on a static environment.
Afonso Fontes, José Everardo Bessa Maia
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Depth-Adapted CNN for RGB-D Cameras [PDF]
Conventional 2D Convolutional Neural Networks (CNN) extract features from an input image by applying linear filters. These filters compute the spatial coherence by weighting the photometric information on a fixed neighborhood without taking into account the geometric information. We tackle the problem of improving the classical RGB CNN methods by using
Wu, Zongwei +3 more
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Absolute and Relative Depth-Induced Network for RGB-D Salient Object Detection
Detecting salient objects in complicated scenarios is a challenging problem. Except for semantic features from the RGB image, spatial information from the depth image also provides sufficient cues about the object.
Yuqiu Kong +5 more
doaj +1 more source
Re-identification with RGB-D Sensors
People re-identification is a fundamental operation for any multi-camera surveillance scenario. Until now, it has been performed by exploiting primarily appearance cues, hypothesizing that the individuals cannot change their clothes. In this paper, we relax this constraint by presenting a set of 3D soft-biometric cues, being insensitive to appearance ...
Igor Barros Barbosa +4 more
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Low-Cost Three-Dimensional Modeling of Crop Plants
Plant modeling can provide a more detailed overview regarding the basis of plant development throughout the life cycle. Three-dimensional processing algorithms are rapidly expanding in plant phenotyping programmes and in decision-making for agronomic ...
Jorge Martinez-Guanter +7 more
doaj +1 more source
A novel method for structural health monitoring (SHM) by using RGB+D data has been recently proposed. RGB+D data are created by fusing image and laser scan data, where the D channel represents the distance, interpolated from laser scanner data.
Josip Peroš +3 more
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Real-time RGB-D image stitching using multiple Kinects for improved field of view
This article concerns the problems of a defective depth map and limited field of view of Kinect-style RGB-D sensors. An anisotropic diffusion based hole-filling method is proposed to recover invalid depth data in the depth map.
Hengyu Li +6 more
doaj +1 more source
Enhanced RGB-D Mapping Method for Detailed 3D Indoor and Outdoor Modeling
RGB-D sensors (sensors with RGB camera and Depth camera) are novel sensing systems that capture RGB images along with pixel-wise depth information. Although they are widely used in various applications, RGB-D sensors have significant drawbacks including ...
Shengjun Tang +6 more
doaj +1 more source

