ROBUST PROJECTIVE FACTORIZATION IN THE PRESENCE OF MISSING OR UNCERTAIN DATA(INTERNATIONAL Workshop on Advanced Image Technology 2008)

スポンサーリンク

概要

• 論文の詳細を見る

• This paper presents a batch type projective reconstruction method to overcome missing or uncertain data. The key feature of the proposed method is that it formulates the factorization problem as a trilinear minimization problem of covariance weighted reprojection error with respect to the motion and 3D point locations, and their inverse depths. To perform minimization, we employ the resection-intersection like technique, which uses only linear computation in contrast to non-linear method. Additionally, the proposed method can be readily applied even if some features are missing. We show the result of experiments on both synthetic and real data, and demonstrate effectiveness and robustness of our method.

• 2007-12-31

著者

• Mitsuhashi Wataru

  The University Of Electro-communications

• Shibusawa Eijiro

  The University of Electro-Communications

関連論文

• ITERATIVE FACTORIZATION APPROACH TO PROJECTIVE RECONSTRUCTION FROM UNCALIBRATED IMAGES WITH OCCLUSIONS(International Workshop on Advanced Image Technology 2009)
• ROBUST PROJECTIVE FACTORIZATION IN THE PRESENCE OF MISSING OR UNCERTAIN DATA(INTERNATIONAL Workshop on Advanced Image Technology 2008)
• A SEQUENTIAL FACTORIZATION METHOD FOR EUCLIDEAN RECONSTRUCTION FROM IMAGE SEQUENCES WITH MISSING DATA(International Workshop on Advanced Image Technology 2007)

スポンサーリンク