Mercurial > cortex
comparison org/literature-review.org @ 369:2d8a8422ff59
beginning extensive literature review.
| author | Robert McIntyre <rlm@mit.edu> |
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| date | Sun, 10 Mar 2013 18:17:53 +0000 |
| parents | |
| children | 9c37a55e1cd2 |
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| 1 * Object Recognition from Local Scale-Invariant Features, David G. Lowe | |
| 2 | |
| 3 This is the famous SIFT paper that is mentioned everywhere. | |
| 4 | |
| 5 This is a way to find objects in images given an image of that | |
| 6 object. It is moderately risistant to variations in the sample image | |
| 7 and the target image. Basically, this is a fancy way of picking out | |
| 8 a test pattern embedded in a larger pattern. It would fail to learn | |
| 9 anything resembling object categories, for instance. Usefull concept | |
| 10 is the idea of storing the local scale and rotation of each feature | |
| 11 as it is extracted from the image, then checking to make sure that | |
| 12 proposed matches all more-or-less agree on shift, rotation, scale, | |
| 13 etc. Another good idea is to use points instead of edges, since | |
| 14 they seem more robust. | |
| 15 | |
| 16 ** References: | |
| 17 - Basri, Ronen, and David. W. Jacobs, “Recognition using region | |
| 18 correspondences,” International Journal of Computer Vision, 25, 2 | |
| 19 (1996), pp. 141–162. | |
| 20 | |
| 21 - Edelman, Shimon, Nathan Intrator, and Tomaso Poggio, “Complex | |
| 22 cells and object recognition,” Unpublished Manuscript, preprint at | |
| 23 http://www.ai.mit.edu/edelman/mirror/nips97.ps.Z | |
| 24 | |
| 25 - Lindeberg, Tony, “Detecting salient blob-like image structures | |
| 26 and their scales with a scale-space primal sketch: a method for | |
| 27 focus-of-attention,” International Journal of Computer Vision, 11, 3 | |
| 28 (1993), pp. 283–318. | |
| 29 | |
| 30 - Murase, Hiroshi, and Shree K. Nayar, “Visual learning and | |
| 31 recognition of 3-D objects from appearance,” International Journal | |
| 32 of Computer Vision, 14, 1 (1995), pp. 5–24. | |
| 33 | |
| 34 - Ohba, Kohtaro, and Katsushi Ikeuchi, “Detectability, uniqueness, | |
| 35 and reliability of eigen windows for stable verification of | |
| 36 partially occluded objects,” IEEE Trans. on Pattern Analysis and | |
| 37 Machine Intelligence, 19, 9 (1997), pp. 1043–48. | |
| 38 | |
| 39 - Zhang, Z., R. Deriche, O. Faugeras, Q.T. Luong, “A robust | |
| 40 technique for matching two uncalibrated images through the recovery | |
| 41 of the unknown epipolar geometry,” Artificial In- telligence, 78, | |
| 42 (1995), pp. 87-119. | |
| 43 | |
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