DocumentCode :
2621321
Title :
Camera viewpoint control for the automatic reconstruction of 3D objects
Author :
Niem, Wolfgang ; Steinmetz, Marcus
Author_Institution :
Inst. fur Theor. Nachrichtentech. und Inf., Hannover Univ., Germany
Volume :
3
fYear :
1996
fDate :
16-19 Sep 1996
Firstpage :
655
Abstract :
An algorithm for the image dependent control of the camera viewpoint is presented, which is applied to the automatic reconstruction of 3D objects. For computer animation applications, “shape from silhouettes” using equally distributed viewpoints is an often used reconstruction technique. With respect to the local reconstruction errors, the use of equally distributed camera views is unfavourable for arbitrary shaped objects. For that reason, a camera viewpoint control is introduced, which purposefully rotates a turntable with the 3D object depending on the trace of the silhouette contour points over the rotation angle. This trace provides information about the location of object planes and gives a measure for the expected local 3D reconstruction errors. It turns out, that the new algorithm reduces the remaining 3D reconstruction errors up to 70% compared to algorithms without viewpoint control using the same number of viewpoints
Keywords :
cameras; computer animation; image reconstruction; image segmentation; motion estimation; telecommunication control; 3D objects; 3D reconstruction error reduction; algorithm; automatic reconstruction; camera viewpoint control; computer animation applications; image dependent control; local 3D reconstruction errors; local reconstruction errors; object planes location; rotation angle; shape from silhouettes; silhouette contour points; turntable rotation; Animation; Application software; Automatic control; Cameras; Computer errors; Error correction; Image reconstruction; Layout; Reconstruction algorithms; Shape control;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Image Processing, 1996. Proceedings., International Conference on
Conference_Location :
Lausanne
Print_ISBN :
0-7803-3259-8
Type :
conf
DOI :
10.1109/ICIP.1996.560580
Filename :
560580
Link To Document :
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