Off-the-Shelf Measurement Setup for Compressive Imaging

Ralašić, Ivan; Seršić, Damir; Petrinovic, Davor

doi:10.1109/tim.2018.2847018

Cited by 13 publications

(10 citation statements)

References 16 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Our measurement setup is composed of an off-the-shelf InFocus IN3118HD DLP projector and Smartek GC2441C camera. We closely follow the calibration procedure for camera-projector systems proposed in [19]. For LTM reconstruction and experiments in dual imaging, we use an Intel Core i7-4930K CPU@3.40 GHz with 64 GB of RAM.…”

Section: A Measurement Setupmentioning

confidence: 99%

Dual Imaging–Can Virtual Be Better Than Real?

2020

Self Cite

View full text Add to dashboard Cite

In this paper, a dual imaging technique is used for high-precision reconstruction of an observed 3D scene. In contrast to stereo vision, dual imaging systems use a camera and a projector instead of a camera pair. We propose a multiresolution approach based on the sum-to-one transform, coupled with compressive sensing principles, for efficient estimation of the light transport matrix (LTM). The LTM contains information on both optical systems and the 3D scene. In our setup, the camera sensor is intentionally chosen to be low resolution to prove the future use of inexpensive sensors in nonvisible regions of the light spectrum, as well as the potential design of simplified multiview and light field acquisition systems. We show that a highprecision estimation of the LTM from a reduced set of measurements is possible. Virtual measurements, instead of physical, are conducted to obtain the 3D reconstruction. We show that 3D scene reconstruction from the proposed virtual measurements corresponds with the actual physical acquisition. Moreover, this approach provides much more detail in the reconstruction. The computational complexity of the proposed methods is reduced to such a level that practical implementations are feasible.

show abstract

Section: A Measurement Setupmentioning

confidence: 99%

Dual Imaging–Can Virtual Be Better Than Real?

2020

Self Cite

View full text Add to dashboard Cite

show abstract

“…The measurement setup proposed in this paper is a generalization of the compressive imaging setup proposed in [24]. It consists of a Lytro Illum light field camera and InFocus IN3118HD DLP projector, along with mechanical integration elements and a computer which is used for the CS reconstruction.…”

Section: Measurement Setupmentioning

confidence: 99%

“…Any mismatch between the computer generated measurement patterns and the patterns projected by the projector directly influences the reconstruction quality and is modelled as the multiplicative noise. The calibration process for the proposed measurement setup closely follows the procedure described in our previous work [24].…”

Section: Camera-projector Calibrationmentioning

confidence: 99%

“…stray projector light and background illumination). We perform overall noise estimation as proposed in [24] by projecting a sequence of eight 'black' projector images (i.e. zeros in R, G and B channels) and capturing them using the Lytro camera.…”

Section: Camera-projector Calibrationmentioning

confidence: 99%

“…Pay attention that obtaining the CS measurements and performing sparse optimization for high-dimensional signals is time consuming and extremely computationally complex. To overcome this problem, we proposed phased CS measurement approach in [24]. The basic idea is to divide the original high-dimensional problem into a number of smaller sub-problems which can be measured and reconstructed independently.…”

Section: Measurement Processmentioning

confidence: 99%

See 2 more Smart Citations

Overcoming spatio-angular trade-off in light field acquisition using compressive sensing

et al. 2020

Self Cite

View full text Add to dashboard Cite

In contrast to conventional cameras which capture a 2D projection of a 3D scene by integrating the angular domain, light field cameras preserve the angular information of individual light rays by capturing a 4D light field of a scene. On the one hand, light field photography enables powerful post-capture capabilities such as refocusing, virtual aperture, depth sensing and perspective shift. On the other hand, it has several drawbacks, namely, high-dimensionality of the captured light fields and a fundamental trade-off between spatial and angular resolution in the camera design. In this paper, we propose a compressive sensing approach to light field acquisition from a sub-Nyquist number of samples. Using an off-the-shelf measurement setup consisting of a digital projector and a Lytro Illum light field camera, we demonstrate the efficiency of the compressive sensing approach by improving the spatial resolution of the acquired light field. This paper presents a proof of concept with a simplified 3D scene as the scene of interest. Results obtained by the proposed method show significant improvement in the spatial resolution of the light field as well as preserved post-capture capabilities.

show abstract

Entropy-assisted adaptive compressive sensing for energy-efficient visual sensors

Duan

et al. 2020

Multimed Tools Appl

View full text Add to dashboard Cite

Off-the-Shelf Measurement Setup for Compressive Imaging

Cited by 13 publications

References 16 publications

Dual Imaging–Can Virtual Be Better Than Real?

Dual Imaging–Can Virtual Be Better Than Real?

Overcoming spatio-angular trade-off in light field acquisition using compressive sensing

Entropy-assisted adaptive compressive sensing for energy-efficient visual sensors

Contact Info

Product

Resources

About