\begin{thebibliography}{10}

\bibitem{PatentBCMR09}
A.~Buades, B.~Coll, JM~Morel, and B.~Rouge.
\newblock {Procedimiento de establecimiento de correspondencia entre una
  primera imagen digital y una segunda imagen digital de una misma escena para
  la obtencion de disparidades}.
\newblock {\em Spanish Patent, Reference P25155ES00, UIB}, 2009.

\bibitem{cao2008theory}
F.~Cao.
\newblock {\em {A theory of shape identification}}.
\newblock Springer Verlag, 2008.

\bibitem{Cao07}
F.~Cao, J.~Delon, A.~Desolneux, P.~Muse, and F.~Sur.
\newblock A unified framework for detecting groups and application to shape
  recognition.
\newblock {\em Journal of Mathematical Imaging and Vision}, 27(2):91--119,
  2007.

\bibitem{Delon07}
J.~Delon and B.~Roug\'{e}.
\newblock Small baseline stereovision.
\newblock {\em Journal of Mathematical Imaging and Vision}, 28(3):209--223,
  2007.

\bibitem{fusiello2000symmetric}
A.~Fusiello, V.~Roberto, and E.~Trucco.
\newblock {Symmetric stereo with multiple windowing}.
\newblock {\em International Journal of Pattern Recognition and Artificial
  Intelligence}, 14(8):1053--1066, 2000.

\bibitem{Hirschmuller02}
H.~Hirschmuller, P.R. Innocent, and J.~Garibaldi.
\newblock Real-time correlation-based stereo vision with reduced border errors.
\newblock {\em International Journal of Computer Vision}, 47(1-3):229--246,
  2002.

\bibitem{Kanade94}
T.~Kanade and M.~Okutomi.
\newblock A stereo matching algorithm with an adaptive window: Theory and
  experiment.
\newblock {\em IEEE Transactions on Pattern Analysis and Machine Intelligence},
  16(9):920--932, 1994.

\bibitem{kimmelmser10}
R.~Kimmel, C.~Zhang, A.~M. Bronstein, and M.~M. Bronstein.
\newblock Are mser features really interesting?
\newblock {\em IEEE Pami, in press}, 2010.

\bibitem{Lotti94}
J.~Lotti and G.~Giraudon.
\newblock Correlation algorithm with adaptive window for aerial image in stereo
  vision.
\newblock {\em In Image and Signal Processing for Remote Sensing}, 1:2315--10,
  1994.

\bibitem{Lowe04}
D.~Lowe.
\newblock Distinctive image features from scale-invariant keypoints.
\newblock {\em International Journal of Computer Vision}, 60(2):91--110, 2004.

\bibitem{matas04}
J.~Matas, O.~Chum, M.~Urban, and T.~Pajdla.
\newblock {Robust wide-baseline stereo from maximally stable extremal regions}.
\newblock {\em Image and Vision Computing}, 22(10):761--767, 2004.

\bibitem{mikolajczyk2005comparison}
K.~Mikolajczyk, T.~Tuytelaars, C.~Schmid, A.~Zisserman, J.~Matas,
  F.~Schaffalitzky, T.~Kadir, and L.V. Gool.
\newblock {A comparison of affine region detectors}.
\newblock {\em International journal of computer vision}, 65(1):43--72, 2005.

\bibitem{morel2009asift}
J.M. Morel and G.~Yu.
\newblock {ASIFT: A new framework for fully affine invariant image comparison}.
\newblock {\em SIAM Journal on Imaging Sciences}, 2(2):438--469, 2009.

\bibitem{Muse06}
P.~Mus\'{e}, F.~Sur, F.~Cao, Y.~Gousseau, and J.-M. Morel.
\newblock An a contrario decision method for shape element recognition.
\newblock {\em International Journal of Computer Vision}, 69(3):295--315, 2006.

\bibitem{patricio2004similarity}
M.P. Patricio, F.~Cabestaing, O.~Colot, and P.~Bonnet.
\newblock {A similarity-based adaptive neighborhood method for
  correlation-based stereo matching}.
\newblock In {\em International Conference on Image Processing}, volume~2,
  pages 1341--1344, 2004.

\bibitem{Robert91}
L.~Robert and O.D. Faugeras.
\newblock Curve-based stereo: figural continuity and curvature.
\newblock In {\em IEEE Computer Society Conference on Computer Vision and
  Pattern Recognition}, 1991.

\bibitem{ThesisNeus}
N.~Sabater.
\newblock {\em Reliability and accuracy in stereovision. Application to aerial
  and satellite high resolution images}.
\newblock {P}h.{D}. thesis, ENS Cachan, December 2009.

\bibitem{scharstein2002middlebury}
D.~Scharstein and R.~Szeliski.
\newblock {Middlebury stereo vision page}.
\newblock {\em Online at http://www. middlebury. edu/stereo}, 2002.

\bibitem{Scharstein02}
D.~Scharstein and R.~Szeliski.
\newblock A taxonomy and evaluation of dense two-frame stereo correspondence
  algorithms.
\newblock {\em International Journal of Computer Vision}, 47(47(1/2/3)):7--42,
  2002.

\bibitem{Schmid00}
C.~Schmid and A.~Zisserman.
\newblock The geometry and matching of lines and curves over multiple views.
\newblock {\em International Journal of Computer Vision}, 40(3):199--234, 2000.

\bibitem{tomasi1998bilateral}
C.~Tomasi and R.~Manduchi.
\newblock {Bilateral filtering for gray and color images}.
\newblock In {\em Proceedings of the Sixth International Conference on Computer
  Vision}, volume 846. Citeseer, 1998.

\bibitem{Veksler03b}
O.~Veksler.
\newblock Fast variable window for stereo correspondence using integral images.
\newblock {\em IEEE Computer Society Conference on Computer Vision and Pattern
  Recognition}, 1:556--561, 2003.

\bibitem{Wang06}
Liang Wang, Miao Liao, Minglun Gong, Ruigang Yang, and David Nister.
\newblock High-quality real-time stereo using adaptive cost aggregation and
  dynamic programming.
\newblock In {\em Proceedings of the Third International Symposium on 3D Data
  Processing, Visualization, and Transmission}, pages 798--805, 2006.

\bibitem{yaroslavsky2003fundamentals}
L.~Yaroslavsky and M.~Eden.
\newblock {Fundamentals of digital optics}, 2003.

\bibitem{Yoon06}
S.~Yoon, K.-J.and~Kweon.
\newblock Adaptive support-weight approach for correspondence search.
\newblock {\em IEEE Transactions on Pattern Analysis and Machine Intelligence},
  28(4):650--656, 2006.

\end{thebibliography}
