Automatical Object Detection and Extraction in Real-world Image
Zhan Shou-yi · Jisuanji gongcheng · 2009
This paper introduces a matting model based on exemplar to realize automatical training and detection in real-world image.Combined with spatial histogram of visual words improve the performance of order less bag-of-features image representation.Background and foreground information can be got automatically from the phase of localization.It uses graph-cut technique to accomplish matting automatically.The test results on Pascal VOC2006 test set show that the detection rate of this method is high,and its automatically matting effect is as well as existing interactive image cutout tool.