A new adaptive focus measure for shape from focus

Tarkan Aydin, Yusuf Sinan Akgul

Araştırma sonucu: Konferans katkısıKonferans bildirisibilirkişi

20 Alıntılar (Scopus)

Özet

This paper proposes a new focus measure operator for Shape From Focus to recover a dense depth map of a scene. The method can handle depth discontinuities effectively by using adaptively shaped and weighted support windows. The support window shapes and weights are determined from the image characteristics of the all-focused image of the scene. Similar and closer pixels in the support window get higher weights, which inhibits the problems caused by the depth discontinuities. The size of the support window can be increased conveniently for a more robust depth estimation without introducing any window size related Shape From Focus problems. The large support window sizes also addresses the edge bleeding problem. The experiments on the real and synthetically refocused images show that the introduced ideas work effectively and efficiently in real world applications.

Orijinal dilİngilizce
DOI'lar
Yayın durumuYayınlanan - 2008
Harici olarak yayınlandıEvet
Etkinlik2008 19th British Machine Vision Conference, BMVC 2008 - Leeds, United Kingdom
Süre: 1 Eyl 20084 Eyl 2008

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???event.eventtypes.event.conference???2008 19th British Machine Vision Conference, BMVC 2008
Ülke/BölgeUnited Kingdom
ŞehirLeeds
Periyot1/09/084/09/08

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