# HG changeset patch
# User Robert McIntyre <rlm@mit.edu>
# Date 1362939473 0
# Node ID 2d8a8422ff591095e99f4c3189e911e46c95460a
# Parent  7a90d37c84b036743ff786f5b1932cb0bd8825ca
beginning extensive literature review.

diff -r 7a90d37c84b0 -r 2d8a8422ff59 org/literature-review.org
--- /dev/null	Thu Jan 01 00:00:00 1970 +0000
+++ b/org/literature-review.org	Sun Mar 10 18:17:53 2013 +0000
@@ -0,0 +1,50 @@
+* Object Recognition from Local Scale-Invariant Features, David G. Lowe
+  
+  This is the famous SIFT paper that is mentioned everywhere.
+
+  This is a way to find objects in images given an image of that
+  object. It is moderately risistant to variations in the sample image
+  and the target image. Basically, this is a fancy way of picking out
+  a test pattern embedded in a larger pattern. It would fail to learn
+  anything resembling object categories, for instance. Usefull concept
+  is the idea of storing the local scale and rotation of each feature
+  as it is extracted from the image, then checking to make sure that
+  proposed matches all more-or-less agree on shift, rotation, scale,
+  etc.  Another good idea is to use points instead of edges, since
+  they seem more robust.
+
+** References:
+ - Basri, Ronen, and David. W. Jacobs, “Recognition using region
+  correspondences,” International Journal of Computer Vision, 25, 2
+  (1996), pp. 141–162.
+  
+ - Edelman, Shimon, Nathan Intrator, and Tomaso Poggio, “Complex
+  cells and object recognition,” Unpublished Manuscript, preprint at
+  http://www.ai.mit.edu/edelman/mirror/nips97.ps.Z
+  
+ - Lindeberg, Tony, “Detecting salient blob-like image structures
+  and their scales with a scale-space primal sketch: a method for
+  focus-of-attention,” International Journal of Computer Vision, 11, 3
+  (1993), pp. 283–318.
+  
+ - Murase, Hiroshi, and Shree K. Nayar, “Visual learning and
+  recognition of 3-D objects from appearance,” International Journal
+  of Computer Vision, 14, 1 (1995), pp. 5–24.
+
+ - Ohba, Kohtaro, and Katsushi Ikeuchi, “Detectability, uniqueness,
+  and reliability of eigen windows for stable verification of
+  partially occluded objects,” IEEE Trans. on Pattern Analysis and
+  Machine Intelligence, 19, 9 (1997), pp. 1043–48.
+
+ - Zhang, Z., R. Deriche, O. Faugeras, Q.T. Luong, “A robust
+  technique for matching two uncalibrated images through the recovery
+  of the unknown epipolar geometry,” Artificial In- telligence, 78,
+  (1995), pp. 87-119.
+
+    
+     
+
+
+    
+
+
diff -r 7a90d37c84b0 -r 2d8a8422ff59 org/notes.org
--- a/org/notes.org	Thu Mar 07 07:54:38 2013 +0000
+++ b/org/notes.org	Sun Mar 10 18:17:53 2013 +0000
@@ -31,7 +31,7 @@
 
 Microsoft Research flickr city square
 
-celiu -- M$ motion guy 
+Ce Liu -- M$ motion guy 
 
 prakesh -- read paper