S
Saad Ahmed Sirohey
Researcher at General Electric
Publications - 129
Citations - 5235
Saad Ahmed Sirohey is an academic researcher from General Electric. The author has contributed to research in topics: Image processing & Visualization. The author has an hindex of 28, co-authored 129 publications receiving 5179 citations. Previous affiliations of Saad Ahmed Sirohey include University of Maryland, College Park & GE Healthcare.
Papers
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Journal ArticleDOI
Human and machine recognition of faces: a survey
TL;DR: A critical survey of existing literature on human and machine recognition of faces is presented, followed by a brief overview of the literature on face recognition in the psychophysics community and a detailed overview of move than 20 years of research done in the engineering community.
Patent
Method and apparatus for transmission and display of a compressed digitized image
TL;DR: In this article, an image resolution suitable for display in a desired viewport is selected via an iterative process including determining whether scaling of one of the different image resolutions of the plurality of different image resolution by a predetermined scaling threshold would result in a scaled image resolution that is less than or equal to the resolution of the desired view port.
Journal ArticleDOI
A method of detecting and tracking irises and eyelids in video
TL;DR: The head-independent motions of the irises can be used to determine behaviors like saccades and smooth pursuit and detect instances of eye closure during blinking.
Journal ArticleDOI
Eye detection in a face image using linear and nonlinear filters
TL;DR: Two methods of eye detection in a face image are described: the face is first detected as a large flesh-colored region, and anthropometric data are then used to estimate the size and separation of the eyes.
Human Face Segmentation and Identification
TL;DR: The segmentation developed utilizes the elliptical structure of the human head and uses the information present in the edge map of the image and through some preprocessing separates the head from the background clutter.