Combining Different Types of Scale Space Interest Points Using Canonical Sets

Scale space interest points capture important photometric and deep structure information of an image. The information content of such points can be made explicit using image reconstruction. In this paper we will consider the problem of combining multiple types of interest points used for image reconstruction. It is shown that ordering the complete set of points by differential (quadratic) TV-norm (which works for single feature types) does not yield optimal results for combined point sets. The paper presents a method to solve this problem using canonical sets of scale space features. Qualitative and quantitative analysis show improved performance over simple ordering of points using the TV-norm.

• Type: Conference
• Year: 2007
• Where: SCALESPACE
• Authors: Frans Kanters, Trip Denton, Ali Shokoufandeh, Luc Florack, Bart M. ter Haar Romeny
• Keywords: Deep Structure Information, Image Reconstruction, Scale Space, SCALESPACE 2007