Computing three dimensional project invariants from a pair of images using the Grassmann-Cayley algebra

被引:6
|
作者
Csurka, G
Faugeras, O
机构
[1] INRIA Rhone Alpes, F-38330 Montbonnot St Martin, France
[2] INRIA Sophia Antipolis, F-06902 Sophia Antipolis, France
关键词
projective invariants; Grassmann-Cayley algebra; protective reconstruction; uncalibrated stereovision;
D O I
10.1016/S0262-8856(97)00045-0
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
The Grassmann-Cayley algebra, also called the double algebra, is an invariant algebraic formalism for expressing statements in synthetic projective geometry. It allows the translation of any incidence relation or incidence theorem in projective geometry into a conjunction of simple double algebraic statements involving only join and meet. In 1993, Carlsson made a first attempt to use this algebra to compute three-dimensional invariants of sets of points and lines from a pair of weakly calibrated stero images that is completed here, such that the results permit the calculation of projective invariants for any configurations of points and/or lines. In the second part of the paper it is shown how these invariants can be used to effect implicit projective reconstruction of points and lines. Some experimental results with real data are presented. (C) 1998 Elsevier Science B.V.
引用
收藏
页码:3 / 12
页数:10
相关论文
共 50 条
  • [21] A method for computing the three-dimensional radial distribution function of cloud particles from holographic images
    Larsen, Michael L.
    Shaw, Raymond A.
    ATMOSPHERIC MEASUREMENT TECHNIQUES, 2018, 11 (07) : 4261 - 4272
  • [22] Three-dimensional measurement using silhouette images from random angles
    Three-dimensional measurement using silhouette images from random angles
    Kawasue, K. (kawasue@computer.org), 2005, Japan Society of Mechanical Engineers (71):
  • [23] Three-dimensional shape reconstruction from two-dimensional images using symmetric camera location
    Shimanuki, M
    Sato, H
    Akatsuka, T
    THREE-DIMENSIONAL IMAGE CAPTURE AND APPLICATIONS, 1998, 3313 : 34 - 45
  • [24] Pair-wise automatic registration of three-dimensional laser scanning data from historical building by created two-dimensional images
    Altuntas, Cihan
    OPTICAL ENGINEERING, 2014, 53 (05)
  • [25] Three-dimensional reconstruction of a fibro-osseous lesion using binary images transformed from histopathological images
    Araki, M.
    Kawashima, S.
    Matsumoto, N.
    Nishimura, S.
    Ishii, T.
    Komiyama, K.
    Honda, K.
    DENTOMAXILLOFACIAL RADIOLOGY, 2010, 39 (04) : 246 - 251
  • [26] Three-dimensional object recognition from two-dimensional images using wavelet transforms and neural networks
    Deschenes, S
    Sheng, YL
    Chevrette, PC
    OPTICAL ENGINEERING, 1998, 37 (03) : 763 - 770
  • [27] Data extraction from brain PET images using three-dimensional stereotactic surface projections
    Minoshima, S
    Ficaro, EP
    Frey, KA
    Koeppe, RA
    Kuhl, DE
    QUANTITATIVE FUNCTIONAL BRAIN IMAGING WITH POSITRON EMISSION TOMOGRAPHY, 1998, : 133 - 137
  • [28] Extraction of three-dimensional soil pore space from microtomography images using a geometrical approach
    Ndeye Fatou Ngom
    Garnier, Patricia
    Monga, Olivier
    Peth, Stephan
    GEODERMA, 2011, 163 (1-2) : 127 - 134
  • [29] Accurate three-dimensional pose recognition from monocular images using template matched filtering
    Picos, Kenia
    Diaz-Ramirez, Victor H.
    Kober, Vitaly
    Montemayor, Antonio S.
    Pantrigo, Juan J.
    OPTICAL ENGINEERING, 2016, 55 (06)
  • [30] Three-dimensional Mapping of Pipeline from Inside Images Using Earthworm Robot Equipped with Camera
    Oyama, Akira
    Iida, Hirotaka
    Ji, Yonghoon
    Umeda, Kazunori
    Mano, Yuki
    Yasui, Takumi
    Nakamura, Taro
    IFAC PAPERSONLINE, 2019, 52 (22): : 87 - 90