Dr. David Doermann
at Defense Advanced Research Projects Agency
SPIE Involvement:
Conference Program Committee | Author | Instructor
Publications (22)

PROCEEDINGS ARTICLE | March 24, 2014
Proc. SPIE. 9021, Document Recognition and Retrieval XXI
KEYWORDS: Image processing algorithms and systems, Optical filters, Patents, Detection and tracking algorithms, Visualization, Image segmentation, Feature extraction, Legal, Image retrieval, Optical character recognition

PROCEEDINGS ARTICLE | January 24, 2011
Proc. SPIE. 7874, Document Recognition and Retrieval XVIII
KEYWORDS: Visualization, Image segmentation, Feature extraction, Image classification, Analytical research, Optical character recognition, Neodymium, Electronic imaging, Classification systems, Current controlled current source

PROCEEDINGS ARTICLE | January 16, 2006
Proc. SPIE. 6067, Document Recognition and Retrieval XIII
KEYWORDS: Image visualization, Detection and tracking algorithms, Imaging systems, Image segmentation, Image processing, Computer programming, Software development, Image storage, Binary data, Standards development

PROCEEDINGS ARTICLE | January 16, 2006
Proc. SPIE. 6067, Document Recognition and Retrieval XIII
KEYWORDS: Edge detection, Statistical analysis, Detection and tracking algorithms, Sensors, Databases, Image processing, Hough transforms, Feature extraction, Image quality, Binary data

PROCEEDINGS ARTICLE | January 17, 2005
Proc. SPIE. 5676, Document Recognition and Retrieval XII
KEYWORDS: Image processing algorithms and systems, Optical filters, Spatial frequencies, Image segmentation, Feature extraction, Image filtering, Neural networks, Image classification, Optical character recognition, Neurons

PROCEEDINGS ARTICLE | December 18, 2003
Proc. SPIE. 5307, Storage and Retrieval Methods and Applications for Multimedia 2004
KEYWORDS: Human-machine interfaces, Visualization, Cameras, Video, Computing systems, Video surveillance, Surveillance, Computer vision technology, Mining, Machine vision

Showing 5 of 22 publications
Conference Committee Involvement (20)
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
Multimedia on Mobile Devices 2012
25 January 2012 | 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 20 published special sections
Course Instructor
SC1098: Document and Image Processing and Analysis on Android Devices
This is a hands-on course that will explore the basis of image processing on Android devices. The increasing availability of high-performance, low-priced, portable digital imaging devices has created a tremendous opportunity for supplementing traditional imaging for scene and document image acquisition. Digital cameras attached to cellular phones, PDAs, or wearable computers, and standalone image or video devices are highly mobile and easy to use. For text based applications, for example, these devices can capture images of business documents, thick books, historical manuscripts too fragile to touch, and text in scenes, making them much more versatile than desktop scanners. Robust solutions to the analysis of documents captured with such devices are becoming available, creating demand in multiple domains. Traditional scanner-based document analysis techniques provide us with a good reference and starting point, but they cannot be used directly on camera-captured images. Camera-captured images can suffer from low resolution, blur, and perspective distortion, as well as complex layout and interaction of the content and background. For scene based applications, these devices are slow replacing a significant segment of the traditional digital camera market, with the advantage of on board processing that can significantly expand the number of applications. This course will highlight the state of the art including a survey of application domains, technical challenges, and solutions for the analysis of scenes and documents captured by digital cameras baseline for development of such applications on Android devices. We will begin by describing typical imaging devices and the imaging process, then discuss document analysis from a single camera-captured image, as well as multiple frames and highlight some sample applications under development, and feasible ideas for future development. The second half of the course will focus on a hand-on tutorial for basic image acquisition and processing on Android devices. We will enable the audience to write their own "instagram" on Android devices. Course Topics include imaging process; mobile imaging devices including capabilities, differences between scanner and camera captured images; enhancement – rectification, lighting, document mosaicing, processing of images on the device, and other symbologies; 1D and barcodes; applications; and market analysis and business opportunities.
SC808: Document and Image Analysis on Mobile Devices
The increasing availability of high-performance, low-priced, portable digital imaging devices has created a tremendous opportunity for supplementing traditional scanning for document image acquisition. Digital cameras attached to cellular phones, PDAs, or wearable computers, and standalone image or video devices are highly mobile and easy to use. These devices can capture images of thick books, historical manuscripts too fragile to touch, and text in scenes, making them much more versatile than desktop scanners. Robust solutions to the analysis of documents captured with such devices are becoming available, creating demand in multiple domains. Traditional scanner-based document analysis techniques provide us with a good reference and starting point, but they cannot be used directly on camera-captured images. Camera-captured images can suffer from low resolution, blur, and perspective distortion, as well as complex layout and interaction of the content and background. This course will highlight the state of the art including a survey of application domains, technical challenges, and solutions for the analysis of documents captured by digital cameras. We will begin by describing typical imaging devices and the imaging process, then discuss document analysis from a single camera-captured image, as well as multiple frames and highlight some sample applications under development, and feasible ideas for future development. Course Topics include imaging process; mobile imaging devices including capabilities, differences between scanner and camera captured document images; enhancement – rectification, lighting, document mosaicing, processing of images on the device, and other symbologies; 1D and barcodes; applications; and market analysis and business opportunities.
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