A survey on indoor RGB-D semantic segmentation: from hand-crafted features to deep convolutional neural networks
Sign Up to like & getrecommendations! Published in 2019 at "Multimedia Tools and Applications"
DOI: 10.1007/s11042-019-7684-3
Abstract: Semantic segmentation is one of the most important tasks in the field of computer vision. It is the main step towards scene understanding. With the advent of RGB-Depth sensors, such as Microsoft Kinect, nowadays RGB-Depth… read more here.
Keywords: crafted features; rgb depth; segmentation; semantic segmentation ... See more keywords
FDHFUI: Fusing Deep Representation and Hand-Crafted Features for User Identification
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DOI: 10.1109/tce.2024.3355757
Abstract: User identification across multiple social networks is an important task for cross-social network recommendation, network security, and other related fields. Usernames belonging to the same individual are rich in information that is valuable for user… read more here.
Keywords: user identification; crafted features; hand crafted; features usernames ... See more keywords
A comparative analysis of image copy-move forgery detection algorithms based on hand and machine-crafted features
Sign Up to like & getrecommendations! Published in 2021 at "Indonesian Journal of Electrical Engineering and Computer Science"
DOI: 10.11591/ijeecs.v22.i2.pp1177-1190
Abstract: Digital image forgery (DIF) is the act of deliberate alteration of an image to change the details transmitted by it. The manipulation may either add, delete or alter any of the image features or contents,… read more here.
Keywords: move forgery; copy move; algorithms based; image ... See more keywords