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An unsolved but important problem in intelligent manufacturing is dynamic pose estimation under complex environmental conditions—tracking an object’s pose and position as it moves in an environment with uncontrolled lighting and background. This is a central task in robotic perception, and a robust, highly accurate solution would be of use in a number of manufacturing applications. To be commercially...
The capability to track, detect, and identify human targets in highly cluttered scenes under extreme conditions, such as in complete darkness or in battlefield, has been one of the primary tactical advantages in military operations. In this paper, we propose a new collaborative, multi-spectrum sensing solution to achieve face detection and registration under low lighting conditions. We construct a...
Registration between low-resolution images is a crucial step in super-resolution. Conventional methods tend to separate scale estimation from translation and rotation estimation. This is because the scale parameter is inherently related to the image resolution. In this paper, we present an area-based image registration technique that can simultaneously estimate translation, rotation, and scale parameters...
To address the frequent lack of a reference image or ground truth when performance testing Bayer pattern color filter array demosaicing algorithms, we propose two new no-reference quality assessment algorithms. These algorithms provide a relative comparison of two demosaicing algorithms by measuring the presence of two common artifacts, zippering and false coloring, in their output images. The first...
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