Image Co-segmentation by Co-diffusion
Sign Up to like & getrecommendations! Published in 2017 at "Circuits, Systems, and Signal Processing"
DOI: 10.1007/s00034-017-0518-5
Abstract: AbstractIn this paper, a co-segmentation algorithm based on 3D heat diffusion named co-diffusion is proposed. The image set is considered as a metal cuboid, and the K heat sources with constant temperature, which maximize the… read more here.
Keywords: image; diffusion; segmentation; heat diffusion ... See more keywords
Face image set classification with self-weighted latent sparse discriminative learning
Sign Up to like & getrecommendations! Published in 2020 at "Neural Computing and Applications"
DOI: 10.1007/s00521-020-05479-1
Abstract: Since image set classification has strong power to overcome various variations in illumination, expression, pose, and so on, it has drawn extensive attention in recent years. Noteworthily, the point-to-point distance-based methods have achieved the promising… read more here.
Keywords: classification; latent sparse; self weighted; image set ... See more keywords
Image set-based face recognition using pose estimation with facial landmarks
Sign Up to like & getrecommendations! Published in 2020 at "Multimedia Tools and Applications"
DOI: 10.1007/s11042-019-08408-0
Abstract: Face recognition (FR) based on image set is an important topic in computer vision. There are numerous approaches that apply pose estimation method for single image face recognition, but few embed pose estimation method into… read more here.
Keywords: image; pose estimation; face recognition; image set ... See more keywords
Locality-aware group sparse coding on Grassmann manifolds for image set classification
Sign Up to like & getrecommendations! Published in 2020 at "Neurocomputing"
DOI: 10.1016/j.neucom.2019.12.026
Abstract: Abstract Riemannian sparse coding methods are attracting increasing interest in many computer vision applications, relying on its non-Euclidean structure. One such recently successful task is image set classification by the aid of Grassmann Manifolds, where… read more here.
Keywords: image; classification; sparse coding; locality ... See more keywords
Open biological negative image set
Sign Up to like & getrecommendations! Published in 2022 at "Royal Society Open Science"
DOI: 10.1098/rsos.211128
Abstract: Scientists conducting affective research often use visual, emotional images, to examine the mechanisms of defensive responses to threatening and dangerous events and objects. Many studies use the rich emotional images from the International Affective Picture… read more here.
Keywords: disgusting fearful; image; biological negative; negative image ... See more keywords
Discrete Metric Learning for Fast Image Set Classification
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Transactions on Image Processing"
DOI: 10.1109/tip.2022.3212284
Abstract: In the field of image set classification, most existing works focus on exploiting effective latent discriminative features. However, it remains a research gap to efficiently handle this problem. In this paper, benefiting from the superiority… read more here.
Keywords: metric learning; set classification; image set; image ... See more keywords
Joint Metric Learning-Based Class-Specific Representation for Image Set Classification.
Sign Up to like & getrecommendations! Published in 2022 at "IEEE transactions on neural networks and learning systems"
DOI: 10.1109/tnnls.2022.3212703
Abstract: With the rapid advances in digital imaging and communication technologies, recently image set classification has attracted significant attention and has been widely used in many real-world scenarios. As an effective technology, the class-specific representation theory-based… read more here.
Keywords: class specific; image set; image; specific representation ... See more keywords
Video based object representation and classification using multiple covariance matrices
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DOI: 10.1371/journal.pone.0176598
Abstract: Video based object recognition and classification has been widely studied in computer vision and image processing area. One main issue of this task is to develop an effective representation for video. This problem can generally… read more here.
Keywords: classification; image; multiple covariance; image set ... See more keywords