Zobrazeno 1 - 7
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pro vyhledávání: '"Bernard Abayowa"'
Publikováno v:
Target and Background Signatures IV.
Traditional event detection from video frames are based on a batch or offline based algorithms: it is assumed that a single event is present within each video, and videos are processed, typically via a pre-processing algorithm which requires enormous
Publikováno v:
ISPRS Journal of Photogrammetry and Remote Sensing. 106:68-81
This paper presents a framework for automatic registration of both the optical and 3D structural information extracted from oblique aerial imagery to a Light Detection and Ranging (LiDAR) point cloud without prior knowledge of an initial alignment. T
Autor:
Erik Blasch, John Trumpfheller, Steven K. Rogers, H. Scott Clouse, Mark E. Oxley, Bernard Abayowa, Jared Culbertson, James Patrick
Publikováno v:
SPIE Proceedings.
The challenges for providing war fighters with the best possible actionable information from diverse sensing modalities using advances in big-data and machine learning are addressed in this paper. We start by presenting intelligence, surveillance, an
Publikováno v:
2015 National Aerospace and Electronics Conference (NAECON).
Image retrieval is a vital function for an active vision system recognizing vehicles in dynamic scenes. A pan-tilt-zoom camera provides a range of retrieval options, but is somewhat limited for algorithm development purposes in that if the conditions
Publikováno v:
SPIE Proceedings.
This paper will look at using open source tools (Blender © [17], LuxRender © [18], and Python © [19]) to build an image processing model for exploring combinations of sensors/platforms for any given image resolution. The model produces camera posi
Autor:
Bernard Abayowa
Publikováno v:
SPIE Proceedings.
Despite the advances in face recognition research, current face recognition systems are still not accurate or robust enough to be deployed in uncontrolled environments. The existence of a pose and illumination invariant face recognition system is sti