| ECVision indexed and annotated bibliography of cognitive computer vision publications This bibliography was created by Hilary Buxton and Benoit Gaillard, University of Sussex, as part of ECVision Specific Action 8-1 The complete text version of this BibTeX file is available here: ECVision_bibliography.bib
D. Roobaert and P. Nillius and J. O. Eklundh
ABSTRACT
We re-evaluate the application of Support Vector Machines (SVM) to appearance-based 3D object recognition, by comparing it to two other learning approaches: the system developed at Columbia University ({"}Columbia{"}) and a simple image matching system using a nearest neighbor classifier ({"}NNC{"}). In a first set of experiments, we compare correct recognition rates of the segmented 3D object images of the COIL database. We show that the performance of the simple {"}NNC{"} system compares to the more elaborated {"}Columbia{"} and {"}SVM{"} systems. Only when the experimental setting is more demanding, i.e. when we reduce the number of views during the training phase, some difference in performance can be observed. In a second set of experiments, we consider the more realistic task of 3D object recognition with cluttered background. Also in this case, we obtain that the performance of the three systems are comparable. Only with the recently proposed black/white background training scheme ({"}BW{"}) applied t... |
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