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Edge and corner detection by photometric quasi-invariants
IEEE Transactions on Pattern Analysis and Machine Intelligence
Feature detection is used in many computer vision applications such as image segmentation, object recognition, and image retrieval. For these applications, robustness with respect to shadows, shading, and specularities is desired. Features based on derivatives of photometric invariants, which we will call full invariants, provide the desired robustness. However, because computation of photometric invariants involves nonlinear transformations, these features are unstable and, therefore,doi:10.1109/tpami.2005.75 pmid:15794166 fatcat:r7obrmcu6jdtlfx5ybj7avyxa4