منابع مشابه
Depth-Discontinuity Preserving Optical Flow Using Time-Multiplexed Illumination
In the last 25 years optical flow has become more and more important in the field of Computer Vision. Many algorithms have been published since the first paper in 1981 and a lot of concepts have been introduced facing problems which occur when the pixel displacements between frames are determined. Even though todays algorithms explicitly consider violations of their model assumptions, they stil...
متن کاملDense Depth Maps by Active Color Illumination and Image Pyramids
An efficient hierarchical technique is presented for obtaining dense stereo correspondence using a color image pyramid. We show that matching results of high quality are obtained when using the hierarchical chromatic Block Matching algorithm. Furthermore, we present some results for parallel implementations of the algorithm. Most stereo matching algorithms can not compute correct dense depth ma...
متن کاملDepth-resolved image mapping spectrometer (IMS) with structured illumination
We present a depth-resolved Image Mapping Spectrometer (IMS) which is capable of acquiring 4D (x, y, z, λ) datacubes. Optical sectioning is implemented by structured illumination. The device's spectral imaging performance is demonstrated in a multispectral microsphere and mouse kidney tissue fluorescence imaging experiment. We also compare quantitatively the depth-resolved IMS with a hyperspect...
متن کاملDepth resolved wide field illumination for biomedical imaging and fabrication
Citation Siemens, M. et al. " EUV detection of high-frequency surface acoustic waves. Article is made available in accordance with the publisher's policy and may be subject to US copyright law. Please refer to the publisher's site for terms of use. The MIT Faculty has made this article openly available. Please share how this access benefits you. Your story matters. (a) (b) Fig. 1: Pictorial des...
متن کاملCurvelet-domain preconditioned ’wave-equation’ depth-migration with sparseness & illumination constraints
A non-linear edge-preserving solution to the least-squares migration problem with sparseness & illumination constraints is proposed. The applied formalism explores Curvelets as basis functions. By virtue of their sparseness and locality, Curvelets not only reduce the dimensionality of the imaging problem but they also naturally lead to a dense preconditioning that almost diagonalizes the normal...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Journal of Computational and Graphical Statistics
سال: 2020
ISSN: 1061-8600,1537-2715
DOI: 10.1080/10618600.2020.1776717