Dr. Longin Jan Latecki
Associate Professor at Temple Univ
SPIE Involvement:
Conference Chair | Author | Instructor
Publications (29)

PROCEEDINGS ARTICLE | April 16, 2010
Proc. SPIE. 7698, Signal and Data Processing of Small Targets 2010
KEYWORDS: Target detection, Principal component analysis, Detection and tracking algorithms, Imaging systems, Cameras, Databases, Video, Video surveillance, Motion detection, Forward looking infrared

PROCEEDINGS ARTICLE | March 9, 2010
Proc. SPIE. 7624, Medical Imaging 2010: Computer-Aided Diagnosis
KEYWORDS: Stars, Detection and tracking algorithms, Magnetic resonance imaging, Medical diagnostics, Control systems, Image analysis, Medical imaging, Shape analysis, Information science, Brain

SPIE Conference Volume | January 28, 2007

PROCEEDINGS ARTICLE | February 2, 2006
Proc. SPIE. 6065, Computational Imaging IV
KEYWORDS: Visual process modeling, 3D image reconstruction, Visualization, Databases, Image segmentation, 3D modeling, Object recognition, Visual system, Chemical elements, 3D image processing

SPIE Conference Volume | January 15, 2006

PROCEEDINGS ARTICLE | January 17, 2005
Proc. SPIE. 5670, Internet Imaging VI
KEYWORDS: Content based image retrieval, Principal component analysis, Sensors, Databases, Image processing, Feature extraction, Quantization, Machine learning, Image retrieval, RGB color model

Showing 5 of 29 publications
Conference Committee Involvement (11)
Vision Geometry XV
1 February 2007 | San Jose, CA, United States
Vision Geometry XIV
17 January 2006 | San Jose, California, United States
Vision Geometry XIII
18 January 2005 | San Jose, California, United States
Vision Geometry XII
19 January 2004 | San Jose, California, United States
Vision Geometry XI
7 July 2002 | Seattle, WA, United States
Showing 5 of 11 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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