Unnecessary Image Pair Detection for a Large Scale Reconstruction
Abstract
This paper proposes an algorithm to detect
unnecessary image pairs for efficient structure from motion. Since image
pair with small baseline is considered as a poor condition for
reconstruction, we focus on computing cameras closely located. We
address a term, "remoteness" which indicates the distance between two
images in this paper. The remoteness is not affected by image's
intrinsic parameters because camera intrinsic matrix is applied to put
the extracted features in the normalized coordinate. The remoteness is
computed using feature disparity in normalized coordinate. Therefore, we
can detect redundant image pair captured at the near position without
reconstruction. The proposed algorithm is proved by experimental results
with Notre Dame images.
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