Detailansicht

3-D Shape Estimation and Image Restoration

eBook - Exploiting Defocus and Motion-Blur
ISBN/EAN: 9781846286889
Umbreit-Nr.: 1805041

Sprache: Englisch
Umfang: 249 S., 8.32 MB
Format in cm:
Einband: Keine Angabe

Erschienen am 12.03.2007
Auflage: 1/2007


E-Book
Format: PDF
DRM: Digitales Wasserzeichen
€ 58,95
(inklusive MwSt.)
Sofort Lieferbar
  • Zusatztext
    • Images contain information about the spatial properties of the scene they depict. When coupled with suitable assumptions, images can be used to infer thr- dimensional information. For instance, if the scene contains objects made with homogeneous material, such as marble, variations in image intensity can be - sociated with variations in shape, and hence the shading in the image can be exploited to infer the shape of the scene (shape from shading). Similarly, if the scene contains (statistically) regular structures, variations in image intensity can be used to infer shape (shape from textures). Shading, texture, cast shadows, - cluding boundaries are all cues that can be exploited to infer spatial properties of the scene from a single image, when the underlying assumptions are sat- ?ed. In addition, one can obtain spatial cues from multiple images of the same scene taken with changing conditions. For instance, changes in the image due to a moving light source are used in photometric stereo, changes in the image due to changes in the position of the cameras are used in stereo, structure from motion, and motion blur. Finally, changes in the image due to changes in the geometry of the camera are used in shape from defocus. In this book, we will concentrate on the latter two approaches, motion blur and defocus, which are referred to collectively as accommodation cues.
  • Kurztext
    • <P>In the areas of image processing and computer vision, there is a particular need for software that can infer the three-dimensional shape of a scene. This book describes the analytical processes that go into designing such software. It also presents original algorithms.</P>