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This paper presents a three-part expansion for feature extraction of the electrocardiogram (EKG) based on a deeper exploitation of what cepstral processing can reveal, specifically in two distinct forms of time-varying-cepstral-power images. These two images have been reviewed for readability by qualified EKG technicians and have received positive reviews in light of their perception of having a tremendous...
High bit-depth video data is becoming more common in imaging and remote sensing because higher bit-depth cameras are becoming more affordable. Displays often represent images in lower bit-depths, and human vision is not able to completely exploit this additional information in its native form. These problems are addressed with High Dynamic Range (HDR) tone mapping, which nonlinearly maps lightness...
Counter Insurgency operations require the ability to develop accurate representations of the physical environment and the human landscape in various conditions (e.g., urban and non-urban, day and night, and various weather conditions). We are developing innovative sensor suites and processing techniques suitable for such domains as part of a larger effort to support human-centric hard/soft data fusion...
Topographic maps contain a small amount of text compared to other forms of printed documents. Furthermore, the text and graphical components typically intersect with one another thus making the extraction of text a very difficult task. Creating training sets with a suitable size from the actual characters in maps would therefore require the laborious processing of many maps with similar features and...
It is now the case that well-performing flash LIDAR focal plane array devices are commercially available. Such devices give us the ability to measure and record registered 3D point cloud sequences at video frame rates. For target detection and tracking applications this allows the processes of structure from motion or multi-view stereo reconstruction to be circumvented. This allows us to construct...
Separation of the text and graphics layers in maps with dense and overlapping sets of features (e.g. topographic maps) is a challenging problem. Multi Angled Parallelism (MAP) provides an efficient tool to detect miscellaneous linear features using directional morphological operations and higher order feature representation. However, in its original formulation sides of characters, short lines, and...
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