Multi-view CSPMPR-ELM feature learning and classifying for RGB-D object recognition
Sign Up to like & getrecommendations! Published in 2018 at "Cluster Computing"
DOI: 10.1007/s10586-018-1695-0
Abstract: In order to fully utilize potential feature information of RGB-D images, current popular algorithms mainly use convolutional neural network (CNN) to execute both feature extraction and classification. Such methods could achieve impressive results but usually on the… read more here.
Keywords: feature; object recognition; elm; rgb object ... See more keywords
Kernel quaternion principal component analysis and its application in RGB-D object recognition
Sign Up to like & getrecommendations! Published in 2017 at "Neurocomputing"
DOI: 10.1016/j.neucom.2017.05.047
Abstract: Abstract While the existing quaternion principal component analysis (QPCA) is a linear tool developed mainly for processing linear quaternion signals, the quaternion representation (QR) used in QPCA creates redundancy when representing a color image signal… read more here.
Keywords: quaternion; quaternion principal; object recognition; rgb object ... See more keywords
RGB-T Object Detection With Failure Scenarios
Sign Up to like & getrecommendations! Published in 2025 at "IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing"
DOI: 10.1109/jstars.2024.3523408
Abstract: Currently, RGB-thermal (RGB-T) object detection algorithms have demonstrated excellent performance, but issues such as modality failure caused by fog, strong light, sensor damage, and other conditions can significantly impact the detector's performance. This article proposes… read more here.
Keywords: detection; information; object detection; rgb object ... See more keywords