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                <title xml:lang="en">Unnecessary Image Pair Detection for a Large                                    Scale Reconstruction</title>
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                <title level="m">Lecture Notes in Computer                                        Science</title>
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                  <title>9th International Conference on Entertainment Computing (ICEC)</title>
                  <date type="start">2010-09-08</date>
                  <date type="end">2010-09-11</date>
                  <settlement>Seoul</settlement>
                  <country key="KR">South Korea</country>
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                <editor>Hyun Seung Yang; Rainer Malaka; Junichi Hoshino; Jung Hyun                                    Han</editor>
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                  <biblScope unit="serie">Entertainment Computing - ICEC 2010</biblScope>
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                <term xml:lang="en">remoteness</term>
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              <p>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.</p>
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