Shape and Refractive Index from Single-View Spectro-Polarimetric Images
نویسندگان
چکیده
منابع مشابه
Shape-from-Shadow Building Reconstruction from Multiple View SAR Images
Detection and geometric reconstruction of man-made objects from high resolution, multiple view interferometric SAR data gets feasible. IFSAR data is corrupted by blur, speckle noise, and other view dependent effects as e.g., layover and shadows. Especially in case of buildings, these phenomenological features may also provide valuable information about the underlying structure. In this paper we...
متن کاملSpectro-Polarimetric Imaging for Object Recognition
We have built an all-electronic spectro-polarimetric imaging camera utilizing an acousto-optic tunable filter and a liquid crystal variable retardation plate. This combination of rapidly adjustable parameters allows operation at 30/sec. frame rate, and near real time adaptability to changing target signatures. The spectral capability of the AOTF permits us to apply simultaneous, multiple wavele...
متن کاملSpectro-polarimetric interferometry (SPIN) of magnetic stars
Stellar magnetic fields are usually studied by spectropolarimetric analysis of the Zeeman effect across spectral lines. Such studies are often limited by the net detectable polarization after averaging the small scale magnetic structures over the photospheric disk of the star. In this paper we examine the possibility to use optical long baseline interferometry to overcome this limitation for a ...
متن کاملMSPI: The Multiangle Spectro-Polarimetric Imager
The Multiangle SpectroPolarimetric Imager (MSPI) is a new type of polarimetric camera jointly designed and fabricated by the University of Arizona and the Jet Propulsion Laboratory. Developed for aerosol measurements from space, MSPI is well-suited for a variety of Stokes imaging applications from the UV through the Visible, NIR, and SWIR which demand polarimetric precision of better than 0.5% ...
متن کاملThe Intrinsic Dimensionality of Spectro-polarimetric Data
The amount of information available in spectro-polarimetric data is estimated. To this end, the intrinsic dimensionality of the data is inferred with the aid of a recently derived estimator based on nearest-neighbor considerations and obtained applying the principle of maximum likelihood. We show in detail that the estimator correctly captures the intrinsic dimension of artificial datasets with...
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: International Journal of Computer Vision
سال: 2012
ISSN: 0920-5691,1573-1405
DOI: 10.1007/s11263-012-0546-3