On the public citation graph
A Boosted Skin Detection Method based on Pixel and Block Information
0 signed · 23 inferred · view as graph
Inferred edges come from two machine sources: sweeps of open repository metadata (mostly SSRN and Zenodo), and a bulk OpenAlex citation snapshot. Every row below is labelled with the one it came from. Neither is a complete citation index — absence here is not evidence of absence.
Is this your work? Sign in with ORCID and put your name on the
claims that are yours.
Reference health. See whether every reference in this work resolves to a
known work and none has been retracted — and get a dated CiteStamped
badge you can embed.
What this work says
Outgoing claims: the papers this work cites, builds on, or argues with.
inferredcites →https://doi.org/10.1007/3-540-45783-6_14openalex-snapshot
Skin Patch Detection in Real-World Images
inferredcites →https://doi.org/10.1007/978-4-431-68456-5_12openalex-snapshot
A Generation Model for Human Skin Texture
inferredcites →https://doi.org/10.1007/bf01914861openalex-snapshot
Human skin model capable of natural shape variation
inferredcites →https://doi.org/10.1016/j.fss.2006.10.018openalex-snapshot
Fuzzy fusion for skin detection
inferredcites →https://doi.org/10.1016/s0031-3203(00)00034-0openalex-snapshot
Adaptive skin-color filter
inferredcites →https://doi.org/10.1023/a:1013200319198openalex-snapshot
Statistical Color Models with Application to Skin Detection
inferredcites →https://doi.org/10.1109/acv.2002.1182194openalex-snapshot
Does colorspace transformation make any difference on skin detection?
inferredcites →https://doi.org/10.1109/afgr.1998.670934openalex-snapshot
Automatic detection of human faces in natural scene images by use of a skin color model and of invariant moments
inferredcites →https://doi.org/10.1109/ratfg.1999.799224openalex-snapshot
Comparison of five color models in skin pixel classification
inferredcites →https://doi.org/10.1109/tsmc.1973.4309314openalex-snapshot
Textural Features for Image Classification
inferredcites →https://doi.org/10.5244/c.15.51openalex-snapshot
A SOM Based Approach to Skin Detection with Application in Real Time Systems
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
inferred← citeshttps://doi.org/10.2139/ssrn.3863894openalex-extracted
Combining Neural Networks for Skin Detection
inferred← citeshttps://doi.org/10.1007/978-3-642-32129-0_47openalex-snapshot
Skin Infection Identification Using Color and Euclidean Distance Algorithm
inferred← citeshttps://doi.org/10.1109/iccci.2013.6466122openalex-snapshot
Skin detection for forensic investigation
inferred← citeshttps://doi.org/10.1109/icmlc.2012.6359650openalex-snapshot
Skin color detection using artificial immune networks
inferred← citeshttps://doi.org/10.1109/icmlc.2013.6890759openalex-snapshot
A multi-objective particle swarm optimization based threshold approach for skin color detection
inferred← citeshttps://doi.org/10.1109/icmlc.2014.7009143openalex-snapshot
Face detection using combination of skin color pixel detection and Viola-Jones face detector
inferred← citeshttps://doi.org/10.1109/isiea.2010.5679412openalex-snapshot
Skin detection based on thresholding in RGB and hue component
inferred← citeshttps://doi.org/10.1109/isvc.2010.5656238openalex-snapshot
Statistical block-based skin detection
inferred← citeshttps://doi.org/10.3844/jcssp.2013.1715.1721openalex-snapshot
OBJECTIONABLE IMAGE DETECTION IN CLOUD COMPUTING PARADIGM-A REVIEW
inferred← citeshttps://doi.org/10.5121/sipij.2010.1201openalex-snapshot
COMBINING NEURAL NETWORKS FOR SKIN DETECTION
Editorial review for independent work. ICSAC — the Institute for Complexity
Science and Advanced Computing — runs a structured editorial panel for researchers
publishing outside journals, and publishes on CiteStamp rails. Submission is free
and goes through ORCID: icsacinstitute.org/submit.