Passive millimeter-wave imaging with extended depth of field and sparse data

Abstract

In this paper, we introduce a new millimeter wave imaging modality with extended depth-of-field that provides diffraction limited images based on a significant reduction in scan-time. The technique uses a cubic phase element in the pupil of the system and a nonlinear recovery algorithm to produce images that are insensitive to object distance. We present experimental results that validate system performance and demonstrate a greater than four-fold increase in depth-of-field with a reduction in scan-time by a factor of at least two.Index Terms-Computational imaging, millimeter wave imaging, extended depth-of-field, image reconstruction, sparsity.

Body Shape-Based Biometric Person Recognition from mmW Images

“…Millimeter waves are high-frequency electromagnetic waves in the range of 30 − 300 GHz with wavelengths between 10 to 1 mm, recently found to have interesting properties for various pattern recognition applications. Concretely, imaging using millimetre waves (mmW) has gained the interest of the security community [1][2][3], mainly due to its low intrusiveness and the ability to pass through clothing and other occlusions.…”