Three-dimensional tomography using a cubic-phase plate extended depth-of-field system

Marks, Daniel L.; Stack, Ronald A.; Brady, David J.; Gracht, Joseph van der

doi:10.1364/ol.24.000253

Cited by 40 publications

(8 citation statements)

References 10 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…In previous research, we considered tomographic reconstruction from projections of this type using pinhole cameras, coherence imagers, and cubic-phaseaberrated systems. 9,12,13 Although any of these systems might be used with cone-beam algorithms, in this paper we focus more on the applicability of the algorithms themselves to visible imaging and less on optical design issues. Accordingly, we limit our attention here to imaging with a standard lens-based camera.…”

Section: Cameras and Cone-beam Projectionsmentioning

confidence: 99%

Cone-beam tomography with a digital camera

Marks¹,

Stack²,

Johnson³

et al. 2001

Appl. Opt.

Self Cite

View full text Add to dashboard Cite

We show that x-ray computer tomography algorithms can be applied with minimal alteration to the three-dimensional reconstruction of visible sources. Diffraction and opacity affect visible systems more severely than x-ray systems. For camera-based tomography, diffraction can be neglected for objects within the depth of field. We show that, for convex objects, opacity has the effect of windowing the angular observation range and thus blurring the reconstruction. For concave objects, opacity leads to nonlinearity in the transformation from object to reconstruction and may cause multiple objects to map to the same reconstruction. In x-ray tomography, the contribution of an object point to a line integral is independent of the orientation of the line. In optical tomography, however, a Lambertian assumption may be more realistic. We derive an expression for the blur function (the patch response) for a Lambertian source. We present experimental results showing cone-beam reconstruction of an incoherently illuminated opaque object.

show abstract

Section: Cameras and Cone-beam Projectionsmentioning

confidence: 99%

Cone-beam tomography with a digital camera

Marks¹,

Stack²,

Johnson³

et al. 2001

Appl. Opt.

Self Cite

View full text Add to dashboard Cite

show abstract

“…In previous reports, we have shown how small-angle tomographic projections and reconstructions could be obtained using pinhole cameras [1], cubic phase aberrations [2], and coherence sensors[3J. In previous reports, we have shown how small-angle tomographic projections and reconstructions could be obtained using pinhole cameras [1], cubic phase aberrations [2], and coherence sensors[3J.…”

Section: Tomographic Optical Ground Sensorsmentioning

confidence: 99%

Unattended interferometric sensors

et al. 1999

Self Cite

View full text Add to dashboard Cite

We describe tomographic integration of visible and IR projections to form 3D models of object spaces. 3D modeling is a computationally efficient means of multiple sensor data reduction and a robust means of scene analysis. We consider how imaging system design might be revised to obtain 3D data and present experimental data from a compact interferometric coherence imaging system. We experimentally and theoretically analyze 3D reconstructions of macroscopic objects, focusing in particular on the reconstruction of an automobile using a conventional camera.

show abstract

“…Essentially, two methods have been found to achieve this. One solution is based on the use of a specially designed phase plate to use in the optical path of the microscope that allows an extension of the depth of focus of the images observable by a microscope [11][12][13]. An alternate approach consists of a numerical construction of a single EFI image from a collection of images obtained by performing mechanical scanning of the microscope objective on different image planes [8][9][10].…”

Section: Introductionmentioning

confidence: 99%