Prof. Zygmunt Pizlo
Assistant Professor at
SPIE Involvement:
Conference Program Committee | Author | Instructor
Publications (26)

PROCEEDINGS ARTICLE | September 6, 2017
Proc. SPIE. 10410, Unconventional and Indirect Imaging, Image Reconstruction, and Wavefront Sensing 2017
KEYWORDS: 3D image reconstruction, Computer simulations, 3D modeling, Inverse problems, Machine vision, Visual system, Human vision and color perception, Virtual reality, 3D vision, 3D image processing

SPIE Journal Paper | August 8, 2016
JEI Vol. 25 Issue 06
KEYWORDS: 3D image processing, Cameras, Mirrors, Stereoscopic cameras, Human vision and color perception, Visualization, Imaging systems, 3D modeling, Visual process modeling, Visual system

PROCEEDINGS ARTICLE | February 3, 2014
Proc. SPIE. 9016, Image Quality and System Performance XI
KEYWORDS: Optical filters, Edge detection, Image compression, Image processing, Tablets, Image quality, Image filtering, Psychophysics, Molybdenum, Visibility

PROCEEDINGS ARTICLE | February 21, 2012
Proc. SPIE. 8302, Imaging and Printing in a Web 2.0 World III
KEYWORDS: Digital photography, Visualization, Image processing, Photography, Computer vision technology, Image quality, Machine vision, Image filtering, Image classification, Multimedia

PROCEEDINGS ARTICLE | February 21, 2012
Proc. SPIE. 8302, Imaging and Printing in a Web 2.0 World III
KEYWORDS: MATLAB, Human subjects, Image compression, Visualization, Databases, Matrices, Image classification, Algorithm development, Expectation maximization algorithms, Classification systems

SPIE Journal Paper | January 1, 2010
JEI Vol. 19 Issue 01
KEYWORDS: Image quality, Printing, Nonimpact printing, Image compression, Optical proximity correction, Raster graphics, CMYK color model, Image processing, Image storage, Human subjects

Showing 5 of 26 publications
Conference Committee Involvement (10)
Computational Imaging XI
5 February 2013 | Burlingame, California, United States
Computational Imaging X
23 January 2012 | Burlingame, California, United States
Computational Imaging VIII
18 January 2010 | San Jose, California, United States
Computational Imaging VII
19 January 2009 | San Jose, California, United States
Computational Imaging VI
28 January 2008 | San Jose, California, United States
Showing 5 of 10 published special sections
Course Instructor
SC754: Human Shape Perception
Shape recognition plays a central role in object recognition and while a large number of technical papers on shape representation and similarity exist, shape recognition still remains an unsolved problem. The main goal of this course is to present results on human shape perception, including 2D as well as 3D shape representation and similarity. This course will provide needed background knowledge about important features of shape recognition from the point of view of human visual perception. It will include a tutorial about human shape perception with an emphasis on the most important psychophysical experiments on shape recognition and reconstruction that have been performed during the last 100 years, as well as on computational models of human shape perception. The course will also include an overview of computational approaches to shape similarity and to shape-based retrieval in multimedia databases. We will report an experimental evaluation of their performance on the dataset used in MPEG-7 Core Experiment CE-Shape-1. This dataset provides a unique opportunity to compare various shape descriptors.
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