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. Author manuscript; available in PMC: 2010 Jul 8.
Published in final edited form as: Proc IEEE Comput Soc Conf Comput Vis Pattern Recognit. 2008 Jun 23;2008:1–8. doi: 10.1109/CVPR.2008.4587808

Figure 1.

Figure 1

Examples of local search responses: (a) is the source image to be aligned. (b) shows the local search responses using patch experts trained by 125 positive examples and 15k negative examples. (c) shows the local search responses trained by 125 positive examples and 8k negative examples. (d) and (e) show the estimated logistic regression weight values of (b) and (c), respectively. A high intensity value indicates a small matching error between the template and the source image patch. Each row in (b–e) shows the responses and weights within a 25 × 25 local search window. The location of each search window is illustrated in the source image (a) as a black box, while the red cross illustrate the ground truth alignment. It is interesting to see that the patch experts learned by a smaller training set (including 8k negative examples) have very similar performance as the ones trained by large training examples (including 15k negative examples).