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Uncalibrated, Two Source Photo-Polarimetric Stereo

In this paper we present methods for estimating shape from polarisation and shading information, i.e. photo-polarimetric shape estimation, under varying, but unknown, illumination, i.e. in an uncalibrated scenario. We propose several alternative photo-polarimetric constraints that depend upon the partial derivatives of the surface and show how to express them in a unified system of partial differential equations of which previous work is a special case. By careful combination and manipulation of the constraints, we show how to eliminate non-linearities such that a discrete version of the problem can be solved using linear least squares. We derive a minimal, combinatorial approach for two source illumination estimation which we use with RANSAC for robust light direction and intensity estimation. We also introduce a new method for estimating a polarisation image from multichannel data and provide methods for estimating albedo and refractive index. We evaluate lighting, shape, albedo and refractive index estimation methods on both synthetic and real-world data showing improvements over existing state-of-the-art.

Ketersediaan

Informasi Detail

Judul Seri

IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE; Vol.44 No.9 Part 2 September 2022

No. Panggil

-

Penerbit

: .,

Deskripsi Fisik

p. 5747 - 5760

Bahasa

English

ISBN/ISSN

-

Klasifikasi

NONE

Tipe Isi

-

Tipe Media

-

Tipe Pembawa

-

Edisi

-

Subjek

PHOTOMETRIC STEREO
ILLUMINATION ESTIMATION
POLARISATION
SHAPE-FROM-X
BAS-RELIEF AMBIGUITY
DIFFERENTIAL APPROACH

Info Detail Spesifik

DOI: 10.1109/TPAMI.2021.3078101

Pernyataan Tanggungjawab

Silvia Tozza, Dizhong Zhu, William A. P. Smith, Ravi Ramamoorthi, Edwin R. Hancock

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