Theses most similar to Aerial reconstructions via probabilistic data fusion (Cabezas, Randi; 2013) read it

Object recognition with pictorial structures

Felzenszwalb, Pedro F., 1976- (2001)

  • Advisor: Grimson, William Eric Leifur
  • Department of Electrical Engineering and Computer Science
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Matching and compressing sequences of visual hulls

Goela, Naveen, 1981- (2004)

  • Advisor: Darrell, Trevor
  • Department of Electrical Engineering and Computer Science
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Rendering from unstructured collections of images

Buehler, Christopher James, 1974- (2002)

  • Advisor: Leonard McMillan
  • Department of Electrical Engineering and Computer Science
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Multiresolution statistical object recognition

Baker, Jonathan D. (Jonathan Daniel) (1994)

  • Advisor: Grimson, William Eric Leifur
  • Department of Electrical Engineering and Computer Science
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An analysis of the effect of Gaussian error in object recognition

Sarachik, Karen Beth (1994)

  • Advisor: Grimson, William Eric Leifur
  • Department of Electrical Engineering and Computer Science
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Tracking dynamic regions of texture and shape

Migdal, Joshua N. (Joshua Nicholas), 1979- (2007)

  • Advisors: Grimson, William Eric Leifur; John W. Fisher, III
  • Department of Electrical Engineering and Computer Science
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Using multiresolution range-profiled real imagery in a stastical object recognition system

Koksal, Asuman E. (Asuman Emine), 1974- (1998)

  • Advisors: Jeffrey H. Shapiro; William M. Wells III
  • Department of Electrical Engineering and Computer Science
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Using information maximization for alignment of objects with albedos

Argiriou, Andreas (Andreas Simeon), 1973- (1997)

  • Advisor: Lozano-Pérez, Tomás
  • Department of Electrical Engineering and Computer Science
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A system for real time 3D reconstruction

Snow, Daniel P. (Daniel Peter), 1974- (2000)

  • Advisor: Paul Viola
  • Department of Electrical Engineering and Computer Science
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Multi-view tracking of soccer players with dynamic cameras

Li, Yixi (2016)

  • Advisors: John W. Fisher; Oren Freifeld
  • Department of Electrical Engineering and Computer Science
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