Zobrazeno 1 - 10
of 15
pro vyhledávání: '"Kashif Usmani"'
Publikováno v:
IEEE Access, Vol 12, Pp 166643-166651 (2024)
This paper presents an experimental analysis of information loss in degraded environments for traditional 2D imaging and 3D integral imaging. We consider mutual information to quantify this information loss. Our experimental analysis shows that 3D in
Externí odkaz:
https://doaj.org/article/f03427697af944808df34831098288e4
Publikováno v:
Optics express. 31(1)
In this paper, we address the problem of object recognition in degraded environments including fog and partial occlusion. Both long wave infrared (LWIR) imaging systems and LiDAR (time of flight) imaging systems using Azure Kinect, which combine conv
Publikováno v:
Optics express. 30(2)
Traditionally, long wave infrared imaging has been used in photon starved conditions for object detection and classification. We investigate passive three-dimensional (3D) integral imaging (InIm) in visible spectrum for object classification using de
Publikováno v:
Imaging and Applied Optics Congress 2022 (3D, AOA, COSI, ISA, pcAOP).
We overview the previously published work for object detection in low light and occlusion using deep learning and polarimetric 3D integral imaging. 3D polarimetric integral imaging outperformed in object detection and classification in degraded envir
Publikováno v:
Optics express. 29(18)
Polarimetric imaging can become challenging in degraded environments such as low light illumination conditions or in partial occlusions. In this paper, we propose the denoising convolutional neural network (DnCNN) model with three-dimensional (3D) in
Publikováno v:
Optik. 180:991-996
In quantitative phase imaging, generally, a highly coherent light source such as a laser is used to achieve the interference easily. But due to laser’s high spatio-temporal coherence, speckles and spurious fringes are formed, which degrades the ima
Publikováno v:
Optics express. 29(8)
Polarimetric imaging is useful for object recognition and material classification because of its ability to discriminate objects based on polarimetric signatures of materials. Polarimetric imaging of an object captures important physical properties s
Publikováno v:
OSA Imaging and Applied Optics Congress 2021 (3D, COSI, DH, ISA, pcAOP).
We present a method for object detection and classification in photon-starved conditions and occluded environments using passive 3D integral imaging with convolution neural networks. Performance will be compared between visible and infra-red range im
Publikováno v:
OSA Imaging and Applied Optics Congress 2021 (3D, COSI, DH, ISA, pcAOP).
We overview polarimetric sensing of objects in low light illumination conditions using three dimensional integral imaging in the visible and long wave infrared (LWIR) domains. SNR of polarimetric imaging in both domains is compared.
Publikováno v:
Imaging and Applied Optics Congress.
We overview a method of extracting 3D reconstructed polarimetric integral images from elemental images recorded in photon starved illumination conditions. Performance of the 3D integral imaging system significantly outperforms the conventional 2D ima