Marius Pedersen
Bakgrunn og aktiviteter
Marius Pedersen har en bachelor i ingeniørfag, data (2006) og har en master i teknologi, medieteknikk (2007), begge fra Høgskolen i Gjøvik. Han mottak sin PhD i fargebildeteknologi fra Universitet i Oslo i 2011. Marius er Professor ved Institutt for Datateknologi og Informatikk ved NTNU i Gjøvik. Han er også leder for Norsk laboratorium for farge og visuell prosessering (Fargelaboratoriet). Hans arbeid er rettet mot kvalitetsvurdering av bilder, spesielt ved bruk av algoritmer.
Vitenskapelig, faglig og kunstnerisk arbeid
Et utvalg av nyere tidsskriftspublikasjoner, kunstneriske produksjoner, bok, inklusiv bokdeler og rapport-del. Se alle publikasjoner i databasen
2020
- (2020) Blind Quality Assessment of Iris Images Acquired in Visible Light for Biometric Recognition. Sensors. vol. 20 (5).
2019
- (2019) Future Directions in Image Quality. Final program and proceedings (Color and Imaging Conference).
- (2019) Comparing the Chromatic Contrast Sensitivity in Vertical and Oblique Orientations. Final program and proceedings (Color and Imaging Conference).
- (2019) Do Contrast Measures Correlate? A Pilot Investigation. European Workshop on Visual Information Processing. vol. 2019-October.
- (2019) How Do Image Quality Metrics Perform on Contrast Enhanced Images?. European Workshop on Visual Information Processing. vol. 2019-October.
- (2019) Automated salamander recognition using deep neural networks and feature extraction. NIK: Norsk Informatikkonferanse.
- (2019) An Evaluation of Colour-to-Greyscale Image Conversion by Linear Anisotropic Diffusion and Manual Colour Grading. Final program and proceedings (Color and Imaging Conference). vol. 2019.
- (2019) Material Appearance: Ordering and Clustering. IS&T International Symposium on Electronic Imaging Science and Technology.
- (2019) Perceived Glossiness: Beyond Surface Properties. Final program and proceedings (Color and Imaging Conference). vol. 2019.
- (2019) Impact of Shape on Apparent Translucency Differences. Final program and proceedings (Color and Imaging Conference). vol. 2019.
- (2019) SHORT-TERM MEMORY EFFECTS IN SUBJECTIVE IMAGE QUALITY ASSESSMENT OFNATURAL IMAGE. European Workshop on Visual Information Processing.
- (2019) Measurement of CIELAB spatio-chromatic contrast sensitivity in different spatial and chromatic directions. Final program and proceedings (Color and Imaging Conference).
- (2019) A Three-Feature Model to Predict Colour Change Blindness. Vision. vol. 3 (61).
- (2019) How re-training process affect the performance of no-reference image quality metric for face images. IS&T International Symposium on Electronic Imaging Science and Technology.
- (2019) StreoScenNet: Surgical stereo robotic scene segmentation. Progress in Biomedical Optics and Imaging. vol. 1095:109510P1.
- (2019) An automatic image-based system for detecting wild and stocked fish. NIK: Norsk Informatikkonferanse.
- (2019) Local Indicators of Spatial Autocorrelation (LISA): Application to Blind Noise-Based Perceptual Quality Metric Index for Magnetic Resonance Images. Journal of Imaging. vol. 5 (1).
- (2019) Plant leaves region segmentation in cluttered and occluded images using perceptual color space and k-means-derived threshold with set theory. IEEE Conference on Industrial Informatics. vol. 2019-July.
- (2019) Image-based recognition of individual trouts in the wild. European Workshop on Visual Information Processing. vol. 2019-October:8946137-19.