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http://dspace.mediu.edu.my:8181/xmlui/handle/1721.1/6039| Title: | On the Sensitivity of the Hough Transform for Object Recognition |
| Keywords: | Hough transform object recognition |
| Issue Date: | 9-Oct-2013 |
| Description: | A common method for finding an object's pose is the generalized Hough transform, which accumulates evidence for possible coordinate transformations in a parameter space and takes large clusters of similar transformations as evidence of a correct solution. We analyze this approach by deriving theoretical bounds on the set of transformations consistent with each data-model feature pairing, and by deriving bounds on the likelihood of false peaks in the parameter space, as a function of noise, occlusion, and tessellation effects. We argue that blithely applying such methods to complex recognition tasks is a risky proposition, as the probability of false positives can be very high. |
| URI: | http://koha.mediu.edu.my:8181/xmlui/handle/1721 |
| Other Identifiers: | AIM-1044 http://hdl.handle.net/1721.1/6039 |
| Appears in Collections: | MIT Items |
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