Recognizing Groceries in situ Using in vitro Training Data

The problem of using pictures of objects captured under ideal imaging conditions (here referred to as in vitro) to recognize objects in natural environments (in situ) is an emerging area of interest in computer vision and pattern recognition. Examples of tasks in this vein include assistive vision systems for the blind and object recognition for mobile robots; the proliferation of image databases on the web is bound to lead to more examples in the near future. Despite its importance, there is still a need for a freely available database to facilitate study of this kind of training/testing dichotomy. In this work one of our contributions is a new multimedia database of 120 grocery products, GroZi-120. For every product, two different recordings are available: in vitro images extracted from the web, and in situ images extracted from camcorder video collected inside a grocery store. As an additional contribution, we present the results of applying three commonly used object recognition/d...

• Type: Conference
• Year: 2007
• Where: CVPR
• Authors: Michele Merler, Carolina Galleguillos, Serge Belongie
• Keywords: Assistive Vision Systems, Computer Vision, CVPR 2007, Ideal Imaging Conditions, Object Recognition/detection Algorithms, Recognition Rate, Sift Matching