Napačna izbira? Nič za to! Ponujamo možnost vračila v 30 dneh
Z darilnim bonom ne morete zgrešiti. Obdarovanec lahko v zameno za darilni bon izbere karkoli iz naše ponudbe.
30 dni za vračilo blaga
Huge collections of digital images exist on the web,§in large company databases or on our private hard§disks. When the images have not been annotated by§keywords, finding pictures containing certain objects§is a difficult task. This work deals with the§recognition of visual object class members in digital§photographs, solely using the image data. The§fundamental principle of all methods employed and§developed in this thesis is the use of local, visual§features. One focus is to find suitable prototype§parts for modeling the object classes. Several issues§like the suitability of interest point detectors, the§fast generation of visual codebooks and the§discrepancy between visual and semantic similarity of§structures are discussed and advanced techniques are§developed based on the findings. The second focus of§this work is the modeling of the visual object§classes using the local parts. In particular, methods§that incorporate the geometric relationship of the§local features have proven to be beneficial.