Results 201 to 210 of about 40,656 (261)

A high-resolution beach imagery dataset with COCO annotations for deep learning-based <i>Sargassum</i> monitoring in coastal environments. [PDF]

Data Brief
Arellano-Verdejo J, Lazcano-Hernandez HE, Trejo-Morales A, Romero MS.   +3 more
europepmc   +1 more source

An integrated method for railway fastener defect detection and geometric parameter measurement using 3D line laser sensor. [PDF]

PLoS One
Yuan X, Liu W, Ma Y, Wang Y, Liu B.
europepmc   +1 more source

Hyperspectral Imaging-Based Evaluation of Seasonal Growth Characteristics in Turfgrass. [PDF]

Plants (Basel)
Jung JG, Jeong ES, Jeong JY, Yoon JH, Shim D, Bae EJ.   +5 more
europepmc   +1 more source

HPA-UNet-LSNet: An LSNet-based U-Net with hybrid pooling attention for accurate segmentation of Haloxylon ammodendron crowns from UAV RGB imagery. [PDF]

PLoS One
Li D, Yang X, Li Y, Liang T.
europepmc   +1 more source

Some of the next articles are maybe not open access.

Related searches:

Gender Recognition on RGB-D Image

2020 IEEE International Conference on Image Processing (ICIP), 2020
In this paper, we propose a deep-learning approach for human gender classification on RGB-D images. Unlike most of the existing methods, which use hand-crafted features from the human face, we exploit local information from the head and global information from the whole body to classify people’s gender.
Xiaoxiong Zhang 0001, Sajid Javed, Ahmad Obeid 0001, Jorge Dias 0001, Naoufel Werghi   +4 more
openaire   +1 more source

SketchyDepth: from Scene Sketches to RGB-D Images

2021 IEEE/CVF International Conference on Computer Vision Workshops (ICCVW), 2021
Sketch-based content generation is a creative and fun activity suited to casual and professional users that has many different applications. Today it is possible to generate the geometry and appearance of a single object by sketching it. Yet, only the appearance can be synthesized from a sketch of a whole scene.
Berardi G., Salti S., Di Stefano L.
openaire   +1 more source

Kinematic Structures Estimation on the RGB-D Images

2020 25th IEEE International Conference on Emerging Technologies and Factory Automation (ETFA), 2020
In this paper, we propose a system which detects and estimates the kinematic structures of objects in the indoor environment. We are interested in specific types of objects like doors, sliding doors, and drawers which are common in the human environment and very important taking into account the full autonomy of mobile robots. We assume that the mobile
Rafal Staszak, Milena Molska, Kamil Mlodzikowski, Justyna Ataman, Dominik Belter   +4 more
openaire   +1 more source

Incremental registration of RGB-D images

2012 IEEE International Conference on Robotics and Automation, 2012
An RGB-D camera is a sensor which outputs range and color information about objects. Recent technological advances in this area have introduced affordable RGB-D devices in the robotics community. In this paper, we present a real-time technique for 6-DoF camera pose estimation through the incremental registration of RGB-D images.
Ivan Dryanovski, Carlos Jaramillo, Jizhong Xiao   +2 more
openaire   +1 more source

Supervoxels for human and clothes in RGB-D image

2014 4th International Conference on Wireless Communications, Vehicular Technology, Information Theory and Aerospace & Electronic Systems (VITAE), 2014
In order to reconstruct human body and remodel clothes in virtual try on and size-fitting scenario, we preprocess the input point cloud into supervoxels through over-segmentation. Over-segmentation of an image into superpixels is a widely used preprocessing approach in image segmentation.
Feng Qi, Honggang Zhang 0002, Bo Zhang, Zhanyu Ma, Na Liu   +4 more
openaire   +1 more source