On generating automatic-object-extractable images

Chee Sun Won

doi:10.1117/12.750536

10 September 2007 On generating automatic-object-extractable images

Chee Sun Won

Proceedings Volume 6764, Intelligent Robots and Computer Vision XXV: Algorithms, Techniques, and Active Vision; 676410 (2007) https://doi.org/10.1117/12.750536
Event: Optics East, 2007, Boston, MA, United States

Abstract

Object segmentation and extraction play an important role in computer vision and recognition problems. Unfortunately, with current computing technologies, fully automatic object segmentation is not possible, but human intervention is needed for outlining the rough boundary of the object to be segmented. The goal of this paper is to make the object extraction automatic after the first semi-automatic segmentation. That is, once the semantically meaningful object such as a house or a human body is extracted from the image under human's guidance, an image manipulation technique is applied. There is no noticeable difference between the original and the manipulated images. However, the embedded signature by the image manipulation can be detected automatically to be used to differentiate the object from the background. The manipulated images, which is called automatic-object-extractible images, can be used to provide training images with the same object but various background images.

Citation Download Citation

Chee Sun Won "On generating automatic-object-extractable images", Proc. SPIE 6764, Intelligent Robots and Computer Vision XXV: Algorithms, Techniques, and Active Vision, 676410 (10 September 2007); https://doi.org/10.1117/12.750536

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