Dr. Longin Jan Latecki Profile

Dr. Longin Jan Latecki

Associate Professor at Temple Univ

SPIE Involvement:

Author | Instructor

Proceedings Article | 28 October 2021 Paper

BASNet: improving semantic segmentation via boundary-assistant symmetrical network

Yong Qiang, Quan Zhou, Huiming Shi, Xin Jin, Weihua Ou, Longin Jan Latecki

Proceedings Volume 11884, 1188404 (2021) https://doi.org/10.1117/12.2601128

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Proceedings Article | 16 April 2010 Paper

Small moving targets detection using outlier detection algorithms

Natasa Reljin, Samantha McDaniel, Dragoljub Pokrajac, Nebojsa Pejcic, Tia Vance, Aleksandar Lazarevic, Longin Latecki

Proceedings Volume 7698, 769804 (2010) https://doi.org/10.1117/12.850550

KEYWORDS: Video, Detection and tracking algorithms, Motion detection, Principal component analysis, Target detection, Video surveillance, Databases, Cameras, Forward looking infrared, Imaging systems

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Proceedings Article | 9 March 2010 Paper

Qiang Wang, Amalia Charisi, Longin Jan Latecki, James Gee, Vasilis Megalooikonomou

Proceedings Volume 7624, 762428 (2010) https://doi.org/10.1117/12.844319

KEYWORDS: Shape analysis, Control systems, Medical imaging, Detection and tracking algorithms, Stars, Image analysis, Brain, Medical diagnostics, Magnetic resonance imaging, Information science

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Proceedings Article | 2 February 2006 Paper

Partial shape similarity of contours is needed for object recognition

Longin Jan Latecki, Rolf Lakaemper, Zygmunt Pizlo

Proceedings Volume 6065, 606516 (2006) https://doi.org/10.1117/12.660282

KEYWORDS: Visualization, Object recognition, Image segmentation, Chemical elements, Databases, Visual system, 3D image reconstruction, Visual process modeling, 3D image processing, 3D modeling

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Proceedings Article | 17 January 2005 Paper

Image retrieval and reversible illumination normalization

Longin Jan Latecki, Venugopal Rajagopal, Ari Gross

Proceedings Volume 5670, (2005) https://doi.org/10.1117/12.587088

KEYWORDS: Image retrieval, Databases, Principal component analysis, RGB color model, Feature extraction, Content based image retrieval, Quantization, Machine learning, Sensors, Image processing

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Proceedings Article | 17 January 2005 Paper

Instantaneous reliability assessment of motion features in surveillance videos

Longin Latecki, Roland Miezianko, Dragoljub Pokrajac

Proceedings Volume 5682, (2005) https://doi.org/10.1117/12.588003

KEYWORDS: Video, Video surveillance, Motion measurement, Reliability, Motion detection, Principal component analysis, Video compression, Statistical analysis, Surveillance, Motion analysis

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Proceedings Article | 17 January 2005 Paper

Making 3D binary digital images well-composed

Marcelo Siqueira, Longin Latecki, Jean Gallier

Proceedings Volume 5675, (2005) https://doi.org/10.1117/12.596447

KEYWORDS: Binary data, 3D image processing, Image processing, Image segmentation, Image processing algorithms and systems, Algorithms, Analog electronics, Computer graphics, Medical imaging, Neuroimaging

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Proceedings Article | 10 January 2003 Paper

Longin Latecki

Proceedings Volume 5018, (2003) https://doi.org/10.1117/12.476177

KEYWORDS: Video, Image retrieval, Composites, Video processing, RGB color model, Stars, Image analysis, Shape analysis, Video compression, Distance measurement

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SPIE Journal Paper | 1 July 2000

Continuity of discrete curve evolution

Longin Latecki, R. Ghadially, Rolf Lakaemper, Ulrich Eckhardt

JEI, Vol. 9, Issue 03, (July 2000) https://doi.org/10.1117/12.10.1117/1.482748

KEYWORDS: Image segmentation, Image processing, Digital image processing, Digital imaging, Feature extraction, Applied mathematics, Machine vision, Computer vision technology, Image understanding, CCD cameras

Proceedings Article | 23 September 1999 Paper

Continuity of the discrete curve evolution

Longin Latecki, R. Ghadially, Rolf Lakaemper, Ulrich Eckhardt

Proceedings Volume 3811, (1999) https://doi.org/10.1117/12.364095

KEYWORDS: Image processing, Image segmentation, Digital image processing, Machine vision, Computer vision technology, Image understanding, Digital imaging, Applied mathematics, Databases, Vision geometry

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Proceedings Article | 2 October 1998 Paper

Contour-based shape similarity

Rolf Lakaemper, Longin Latecki, Ulrich Eckhardt

Proceedings Volume 3454, (1998) https://doi.org/10.1117/12.323256

KEYWORDS: Visualization, Image segmentation, Databases, Digital imaging, Image retrieval, Prototyping, Object recognition, Machine vision, Computer vision technology, Computer programming

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Proceedings Article | 20 October 1997 Paper

Differentialless geometry of plane curves

Longin Latecki, Azriel Rosenfeld

Proceedings Volume 3168, (1997) https://doi.org/10.1117/12.279677

KEYWORDS: Image segmentation

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Proceedings Article | 20 October 1997 Paper

Topologically invariant methods in document image analysis

Ari Gross, Longin Latecki

Proceedings Volume 3168, (1997) https://doi.org/10.1117/12.292786

KEYWORDS: Digital imaging, Image compression, Document image analysis, Optical inspection, Image analysis, CCD cameras, Image understanding, Visualization, Inspection

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Proceedings Article | 11 August 1995 Paper

3D well-composed pictures

Longin Latecki

Proceedings Volume 2573, (1995) https://doi.org/10.1117/12.216416

KEYWORDS: Analog electronics, 3D image processing, Binary data, Machine vision, Computer vision technology, Lawrencium, Computer graphics, Computer science, Chlorine, Reflection

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Proceedings Article | 4 January 1995 Paper

Digitizations preserving topological and differential geometric properties

Ari Gross, Longin Latecki

Proceedings Volume 2356, (1995) https://doi.org/10.1117/12.198621

KEYWORDS: Vision geometry, Sensors, 3D modeling, Image processing, Process modeling, Binary data, Legal, Actinium, Computer science, Digital image processing

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Proceedings Article | 4 January 1995 Paper

Multicolor well-composed pictures

Longin Latecki

Proceedings Volume 2356, (1995) https://doi.org/10.1117/12.198624

KEYWORDS: Binary data, Image processing, Vision geometry, Machine vision, Computer vision technology, Process modeling, Image segmentation, Reconstruction algorithms, Computer science, Pattern recognition

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Proceedings Article | 4 January 1995 Paper

Nearly continuous functions in digital images

Longin Latecki, Frank Prokop

Proceedings Volume 2356, (1995) https://doi.org/10.1117/12.198618

KEYWORDS: Vision geometry, Digital image processing, Actinium, Machine vision, Computer vision technology, Computer graphics, Space operations, Talc, 3D image processing, Chlorine

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Proceedings Article | 10 October 1994 Paper

Digital topology of multicolor images

Longin Latecki

Proceedings Volume 2353, (1994) https://doi.org/10.1117/12.188924

KEYWORDS: Binary data, Image segmentation, Machine vision, Computer vision technology, Digital image processing, Image processing, 3D image processing, Reconstruction algorithms, Computer science, Analog electronics

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Proceedings Article | 1 December 1993 Paper

Well-composedness of digital sets

Longin Latecki, Ulrich Eckhardt, Azriel Rosenfeld

Proceedings Volume 2060, (1993) https://doi.org/10.1117/12.165012

KEYWORDS: Vision geometry, Binary data, Machine vision, Computer vision technology, 3D image processing, Applied mathematics, Digital image processing, Analog electronics, Computer science, Mathematics

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Showing 5 of 19 publications

SPIE Conference Volume | 28 January 2007

Vision Geometry XV

SPIE Conference Volume | 15 January 2006

Vision Geometry XIV

SPIE Conference Volume | 17 January 2005

Vision Geometry XIII

SPIE Conference Volume | 19 April 2004

Vision Geometry XII

SPIE Conference Volume | 24 November 2002

Vision Geometry XI

Showing 5 of 11 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 Conference Committees

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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