By Renhard Wilhelm, Dieter Maurer
This is often the 1st ebook on compiler layout that covers object-oriented, sensible, and good judgment programming languages--as good as vital languages. the speculation of machine layout is roofed intensive, however the concentration all through is on instruments and implementation strategies so one can be of sensible use to software program builders.
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Evaluation of Interest Point Detectors”. g. circles) of different sizes around a point • Regions of corresponding sizes will look the same in both images Scale Invariant Detection • The problem: how do we choose corresponding circles independently in each image? Scale Invariant Detection • Solution: – Design a function on the region (circle), which is “scale invariant” (the same for corresponding regions, even if they are at different scales) Example: average intensity. For corresponding regions (even of different sizes) it will be the same.
Distinguished Regions for Wide-baseline Stereo”. Research Report of CMP, 2001. Affine Invariant Detection : Summary • Under affine transformation, we do not know in advance shapes of the corresponding regions • Ellipse given by geometric covariance matrix of a region robustly approximates this region • For corresponding regions ellipses also correspond Methods: 1. Search for extremum along rays [Tuytelaars, Van Gool]: 2. ] Contents • Harris Corner Detector – Description – Analysis • Detectors – Rotation invariant – Scale invariant – Affine invariant • Descriptors – Rotation invariant – Scale invariant – Affine invariant Point Descriptors • We know how to detect points • Next question: How to match them?
Indexing Based on Scale Invariant Interest Points”. Lowe. “Distinctive Image Features from Scale-Invariant Keypoints”. t. Schmid. “Indexing Based on Scale Invariant Interest Points”. ICCV 2001 Scale Invariant Detection: Summary • Given: two images of the same scene with a large scale difference between them • Goal: find the same interest points independently in each image • Solution: search for maxima of suitable functions in scale and in space (over the image) Methods: 1. Harris-Laplacian [Mikolajczyk, Schmid]: maximize Laplacian over scale, Harris’ measure of corner response over the image 2.
Compiler Design by Renhard Wilhelm, Dieter Maurer