Optically multiplexed imaging with superposition space tracking
Posted on 2017-04-28 - 15:09
We describe a novel method to track targets in a large field of view. This method simultaneously images multiple, encoded sub-fields of view onto a common focal plane. Sub-field encoding enables target tracking by creating a unique connection between target characteristics in superposition space and the target’s true position in real space. This is accomplished without reconstructing a conventional image of the large field of view. Potential encoding schemes include spatial shift, rotation, and magnification. We discuss each of these encoding schemes, but the main emphasis of the paper and all examples are based on one-dimensional spatial shift encoding. System performance is evaluated in terms of two criteria: average decoding time and probability of decoding error. We study these performance criteria as a function of resolution in the encoding scheme and signal-to-noise ratio. Finally, we include simulation and experimental results demonstrating our novel tracking method.
CITE THIS COLLECTION
Uttam, Shikhar; Goodman, Nathan A.; Neifeld, Mark A.; Kim, Changsoon; John, Renu; Kim, Jungsang; et al. (2009). Optically multiplexed imaging with superposition space tracking. Optica Publishing Group. Collection. https://doi.org/10.6084/m9.figshare.c.3762191.v1
Select your citation style and then place your mouse over the citation text to select it.
Read the peer-reviewed publication
Nathan A. Goodman
Mark A. Neifeld