Table 2 Recall and precision of each feature detector/descriptor combination. The test run on the MSP dataset and results in the 4th through 6th columns are for each image on average. For reference, the average raw image volume is 19.2 KB. Assume a float type number takes 4 Bytes in storage. (The numbers in the parentheses in columns 4, 5, and 6 indicate the "rank'' of the detector/descriptor combination in terms of the corresponding performance metric in that column. The "rank-based score'' in the last column is the summation of the three ranks along the row.)
| Â | Descr. length | No. of feature points | Feature data vol. (KB) | Recall | Precision | Rank-based score |
|---|---|---|---|---|---|---|
SIFT | 128 | 139 | 71.2( | 0.4000( | 0.3077( | 17 |
SURF | 64 | 72 | 18.4( | 0.4500( | 0.5294( | 8 |
Harris + SIFT descr. | 128 | 39 | 20.0( | 0.3500( | 0.3043( | 18 |
Harris + SURF descr. | 64 | 39 | 10.0( | 0.4500( | 0.1915( | 15 |
DWT + SIFT descr. | 128 | 87 | 44.5( | 0.4000( | 0.3636( | 15 |
DWT + SURF descr. | 64 | 87 | 22.2( | 0.2500( | 0.2000( | 23 |
SIFT detec.+ M. I. | 7 | 139 | 3.9( | 0.1500( | 0.2000( | 20 |
SURF detec.+ M. I. | 7 | 72 | 2.0( | 0.1500( | 0.1071( | 21 |
Harris + M. I. | 7 | 39 | 1.1( | 0.4000( | 0.4211( | 6 |
DWT + M. I. | 7 | 87 | 2.4( | 0.3000( | 0.2609( | 16 |
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