Automatic shape reconstruction of rigid 3-D objects from multiple calibrated images

We present a method for reconstructing the shape of a rigid 3-D object based on multiple calibrated images from an arbitrary camera setup. The algorithm is robust and able to reconstruct concavities. It is based on the idea to reconstruct a photo-consistent shape by carving and coloring voxels from...

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Bibliographic Details
Published in2000 10th European Signal Processing Conference pp. 1 - 4
Main Author Eckert, Gerald
Format Conference Proceeding Journal Article
LanguageEnglish
Published IEEE 01.09.2000
Subjects
Calibration
Cameras
Color
Coloring
Concavity
Image reconstruction
Three dimensional
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Summary:We present a method for reconstructing the shape of a rigid 3-D object based on multiple calibrated images from an arbitrary camera setup. The algorithm is robust and able to reconstruct concavities. It is based on the idea to reconstruct a photo-consistent shape by carving and coloring voxels from a volume description of the object. Coloring and carving steps are carried out with respect to a color verification from the input images for each visible voxel. As compared to other approaches, the threshold used for the color verification is adapted automatically. Information included in the input images is processed and applied simultaneously without any explicit integration or assignment to the volume. The approach is evaluated using camera images of a real scene.
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ISBN:9789521504433
9521504439