Markov Random Field Modeling in Computer Vision
https://doi.org/10.1007/978-4-431-66933-3
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https://doi.org/10.1007/978-4-431-66933-3
In recent times a great deal of interest has been shown, amongst the computer vision and robotics research community, in the acquisition of range data for supporting scene analysis leading to remote (noncontact) determination of configurati...
https://doi.org/10.1109/tpami.1983.4767365
Advances in the field of computer vision are leading to radical changes in the way we interact with computers. At the time of this book's publication in 1998, it would soon be possible to enable a computer linked to a video camera to detect...
https://doi.org/10.1017/cbo9780511569937
https://doi.org/10.1007/3-540-61123-1
Which neighborhoods experience physical improvements? In this paper, we introduce a computer vision method to measure changes in the physical appearances of neighborhoods from time-series street-level imagery. We connect changes in the phys...
https://doi.org/10.1073/pnas.1619003114
PMC: 5530649
Automated visual understanding of our diverse and open world demands computer vision models to generalize well with minimal customization for specific tasks, similar to human vision. Computer vision foundation models, which are trained on d...
https://doi.org/10.48550/arxiv.2111.11432
https://doi.org/10.1007/978-3-319-58347-1
A class of biometrics based upon ear features is introduced for use in the development of passive identification systems. The viability of the proposed biometric is shown both theoretically in terms of the uniqueness and measurability over ...
https://doi.org/10.1109/icpr.2000.906202
https://doi.org/10.1007/978-3-030-03000-1
BACKGROUND: Computer vision syndrome (CVS) is a collection of symptoms related to prolonged work at a computer display. OBJECTIVE: This article reviews the current knowledge about the symptoms, related factors and treatment modalities for C...
https://doi.org/10.3233/wor-152162
https://doi.org/10.1007/11263.1573-1405
10.1371/journal.pone.0362220
PMC: PMC13734501
10.1371/journal.pone.0332771
PMC: PMC13734451
10.1371/journal.pone.0360612
PMC: PMC13734489
10.1371/journal.pone.0359003
PMC: PMC13734480
10.1371/journal.pone.0360378
PMC: PMC13734448
10.1371/journal.pone.0361959
PMC: PMC13734472
10.1371/journal.pgph.0007568
PMC: PMC13734439
10.1371/journal.pdig.0001797
PMC: PMC13734574
10.1126/sciadv.aei1954
PMC: PMC13733823