Results 31 to 40 of about 357,344 (305)
Difference of Normals as a Multi-Scale Operator in Unorganized Point Clouds [PDF]
, 2012 A novel multi-scale operator for unorganized 3D point clouds is introduced. The Difference of Normals (DoN) provides a computationally efficient, multi-scale approach to processing large unorganized 3D point clouds.
, +4 more
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IEEE Access, 2020 Land cover segmentation is an important and challenging task in the field of remote sensing. Even though convolutional neural networks (CNNs) provide great support for semantic segmentation, standard models are still difficult to capture global ...
Shuyang Wang +4 more
doaj +1 more source
IET Computer Vision, 2021 Jointly performing semantic and instance segmentation of 3D point cloud remains a challenging task. In this work, a novel framework called joint 3D semantic‐instance segmentation via multi‐scale Semantic Association and Salient point clustering ...
Jingang Tan +4 more
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Segmentation-Aware Convolutional Networks Using Local Attention Masks [PDF]
, 2017 We introduce an approach to integrate segmentation information within a convolutional neural network (CNN). This counter-acts the tendency of CNNs to smooth information across regions and increases their spatial precision.
Derpanis, Konstantinos G. +2 more
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The Empirical Watershed Wavelet
Journal of Imaging, 2020 The empirical wavelet transform is an adaptive multi-resolution analysis tool based on the idea of building filters on a data-driven partition of the Fourier domain.
Basile Hurat +2 more
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An Alarm System For Segmentation Algorithm Based On Shape Model
, 2019 It is usually hard for a learning system to predict correctly on rare events that never occur in the training data, and there is no exception for segmentation algorithms. Meanwhile, manual inspection of each case to locate the failures becomes infeasible
Liu, Fengze +4 more
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Plant image retrieval using color, shape and texture features [PDF]
, 2011 We present a content-based image retrieval system for plant image retrieval, intended especially for the house plant identification problem. A plant image consists of a collection of overlapping leaves and possibly flowers, which makes the problem ...
Kebapcı, Hanife +5 more
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3D-BEVIS: Bird's-Eye-View Instance Segmentation
, 2019 Recent deep learning models achieve impressive results on 3D scene analysis tasks by operating directly on unstructured point clouds. A lot of progress was made in the field of object classification and semantic segmentation.
A Dai +4 more
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Video-based Sign Language Recognition without Temporal Segmentation
, 2018 Millions of hearing impaired people around the world routinely use some variants of sign languages to communicate, thus the automatic translation of a sign language is meaningful and important.
Huang, Jie +4 more
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Coarse-to-Fine Segmentation with Shape-Tailored Continuum Scale Spaces [PDF]
2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2017 We formulate an energy for segmentation that is designed to have preference for segmenting the coarse over fine structure of the image, without smoothing across boundaries of regions. The energy is formulated by integrating a continuum of scales from a scale space computed from the heat equation within regions.
Naeemullah Khan +3 more
openaire +1 more source