Object Recognition using the Invariant Pixel-Set Signature
Jiřı́ Matas, Jan Dismas Buriánek, Josef Kittler · 2000
A new object recognition method, the Invariant Pixel Set Signature (IPSS), is introduced. Objects are represented with a probability density on the space of invariants computed from measurements (pixel values) inside convex hulls of n-tuples of interest points. Experimentally the method is tested on COIL– 20, a publicly available database of 72 views of 20 natural object rotating on a turntable. With a model built from a single view, recognition performance measured by the average match percentile is above 98 % for 20 degrees and above 96 % for30 degrees. For some object, 100 % first rank is achieved for all 72 views. Robustness to occlusion is shown using images with one half covered. For a small change of viewpoint (10 degrees) recognition of the occluded object is perfect. 1