Investigation of accuracy for drawing of object detection method with sketch
Yoshiki Kubota, Takuya Akashi, Minoru Fukumi, Yoshisuke Kurozumi · World Automation Congress · 2010
There are many image retrieval systems. In these systems, it is difficult to search an object which can not describe in words. Moreover, tagging with words and prior training are necessary. To solve these problems, a purpose of our study is a intuitive and visual image retrieval system using a sketch. As a basis of the system, object detection method with sketch have been proposed. In this paper, an effect of the difference of various sketches in the proposed method is investigated by an experiment. As a results, it is shown that the proposed method is influenced by a detailed part of the sketch, and too sensitive detection is achieved.