Monocular correspondence detection for symmetrical objects by template matching

G. Vilmar; Philipp W. Besslich Jr.

doi:10.1117/12.24230

1 September 1990 Monocular correspondence detection for symmetrical objects by template matching

G. Vilmar, Philipp W. Besslich Jr.

Proceedings Volume 1360, Visual Communications and Image Processing '90: Fifth in a Series; (1990) https://doi.org/10.1117/12.24230
Event: Visual Communications and Image Processing '90, 1990, Lausanne, Switzerland

Abstract

We describe a possibility to reconstruct 3-D information from a single view of an 3-D bilateral symmetric object. The symmetry assumption allows us to obtain a “second view” from a different viewpoint by a simple reflection of the monocular image. Therefore, we have to solve the correspondence problem in a special case, where known feature-based or area-based binocular approaches fail. In principle, our approach is based on a frequency domain template matching of the features on the epipolar lines. During a training period, our system “learns” the assignment of correspondence models to image features. The object shape is interpolated, when no template matches to the image features. This fact is an important advantage of this methodology, because no “real world” image holds the symmetry assumption perfectly. To simplify the training process, we used single views on human faces (e.g. passport photos), but our system is trainable on any other kind of objects.

Citation Download Citation

G. Vilmar and Philipp W. Besslich Jr. "Monocular correspondence detection for symmetrical objects by template matching", Proc. SPIE 1360, Visual Communications and Image Processing '90: Fifth in a Series, (1 September 1990); https://doi.org/10.1117/12.24230

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KEYWORDS

3D image processing

3D modeling

Image processing

Visual communications

Visualization

3D vision

Image quality

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