Prof. Michael Langer belongs to the School of Computer Science at McGill University and is the director of the Appearance Modelling Lab at CIM.
2020
Perception of a black room seen through a veiling luminance. Gilchrist & M. S. Langer, i-Perception, 11(6), 1–9. (2020).
Depth from Defocus on a Transmissive Diffraction Mask-based Sensor. N. Kunnath, J. Cho, M.S. Langer, 17th Conference on Computer and Robot Vision May 2020
2019
M. Scaccia, M.S. Langer. “Density discrimination with occlusions in 3D clutter”. Journal of Vision October 2019, 19 (10) Link to publication
2018
A Psychophysical Evaluation of Texture Compression Masking Effects G. Lavoue, M.S. Langer, A. Peytavie, P. Poulin, IEEE Transactions on Visualization and Computer Graphics Feb. 2018
Signs of depth-luminance covariance in 3D cluttered scenes M. Scaccia, M.S. Langer Journal of Vision March 2018, 18 (5)
Microparallax is preferred over blur as a cue to depth order at occlusion boundaries D. Tiron; M.S. Langer, Vision Sciences Society Annual Meeting, St. Petes Beach FL, May 2018
Density discrimination in 3D clutter: Are we up-front about it? M, Scaccia, M.S. Langer European Conference on Visual Perception Triese, Italy, Aug. 2018
Fourth
V. A. Petrella, S. Labute, M.S. Langer, P. G. Kry, “Defocus Discrimination in Video: Motion in Depth”. i-Perception, Nov. (2017) Link to publication
M.S. Langer, M, Scaccia, “The luminance-depth gradient in 3D clutter: When does dark mean deep?” (Abstract) European Conference on Visual Perception, Berlin, Germany, Aug. 2017
