Dr. Gady Agam
SDL Author at Illinois Institute of Technology
SPIE Involvement:
Conference Program Committee | Conference Chair | Author | Editor | Instructor
Publications (43)

PROCEEDINGS ARTICLE | May 21, 2015
Proc. SPIE. 9473, Geospatial Informatics, Fusion, and Motion Video Analytics V
KEYWORDS: Image processing algorithms and systems, Edge detection, Detection and tracking algorithms, Data modeling, Satellites, Image segmentation, 3D modeling, Satellite imaging, Image classification, Earth observing sensors

PROCEEDINGS ARTICLE | March 20, 2015
Proc. SPIE. 9413, Medical Imaging 2015: Image Processing
KEYWORDS: Image visualization, Magnetic resonance imaging, Image segmentation, Image processing, Error analysis, Image registration, Medical imaging, Gallium nitride, Performance modeling, Brain

PROCEEDINGS ARTICLE | March 17, 2015
Proc. SPIE. 9418, Medical Imaging 2015: PACS and Imaging Informatics: Next Generation and Innovations
KEYWORDS: Safety, Computer aided diagnosis and therapy, Detection and tracking algorithms, Surgery, Image analysis, Machine vision, Software development, Machine learning, Algorithm development, Picture Archiving and Communication System

PROCEEDINGS ARTICLE | March 12, 2015
Proc. SPIE. 9401, Computational Imaging XIII
KEYWORDS: Genetic algorithms, Radon, Tissues, Image processing, Control systems, Image registration, Medical imaging, Gallium nitride, Algorithm development, Optimization (mathematics)

PROCEEDINGS ARTICLE | March 11, 2015
Proc. SPIE. 9411, Mobile Devices and Multimedia: Enabling Technologies, Algorithms, and Applications 2015
KEYWORDS: Target detection, Mobile devices, Image visualization, Visualization, Cameras, Calibration, 3D modeling, 3D metrology, Corner detection, 3D image processing

PROCEEDINGS ARTICLE | March 6, 2015
Proc. SPIE. 9408, Imaging and Multimedia Analytics in a Web and Mobile World 2015
KEYWORDS: Detection and tracking algorithms, Magnetic resonance imaging, Image segmentation, Video, Image analysis, Machine learning, Video processing, Multimedia, Optical character recognition, Algorithm development

Showing 5 of 43 publications
Conference Committee Involvement (10)
Document Recognition and Retrieval XXII
11 February 2015 | San Francisco, California, United States
Document Recognition and Retrieval XXI
5 February 2014 | San Francisco, California, United States
Document Recognition and Retrieval XX
5 February 2013 | Burlingame, California, United States
Document Recognition and Retrieval XIX
25 January 2012 | Burlingame, California, United States
Document Recognition and Retrieval XVIII
26 January 2011 | San Francisco Airport, California, United States
Showing 5 of 10 published special sections
Course Instructor
SC927: 3D Imaging
The purpose of this course is to introduce algorithms for 3D structure inference from 2D images. In many applications, inferring 3D structure from 2D images can provide crucial sensing information. The course will begin by reviewing geometric image formation and mathematical concepts that are used to describe it, and then move to discuss algorithms for 3D model reconstruction. The problem of 3D model reconstruction is an inverse problem in which we need to infer 3D information based on incomplete (2D) observations. We will discuss reconstruction algorithms which utilize information from multiple views. Reconstruction requires the knowledge of some intrinsic and extrinsic camera parameters, and the establishment of correspondence between views. We will discuss algorithms for determining camera parameters (camera calibration) and for obtaining correspondence using epipolar constraints between views. The course will also introduce relevant 3D imaging software components available through the industry standard OpenCV library.
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