Depth from Blur by Zooming

نویسندگان

  • Naoki Asada
  • Masashi Baba
  • Ai Oda
چکیده

This paper presents a novel approach to depth recovery from image blur by zooming. We first discuss the optical properties of a zoom lens system; the image blur varies according to zoom as well as focus and iris settings. Then a thin lens based camera model is proposed that is characterized by the effective focal length and lens diameter. Using this model, we have proved that the depth information is recovered from the image blur at any setting of zoom, focus and iris parameters, and have developed a method to estimate the depth from a set of multiple images taken at different zoom settings. Experimental results using real images have shown that the depth information is reliable around the focused distance and is stably recovered from multiple zoom images. Finally, we have demonstrated an application of the depth recovery by zooming to image synthesis; that is, the virtual objects embedded in a real image are defocused appropriately based on the recovered 3D geometry.

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تاریخ انتشار 2001