Lines Matching full:cameras
136 // preconditioner. It clusters cameras using their scene
152 // preconditioner. It clusters cameras using using the scene
184 // Call the canonical views algorithm and cluster the cameras based on
226 // matrix. For each pair of cameras contributing a non-zero cell to
230 // A pair of cameras contribute a cell to the preconditioner if they
263 // For each e_block/point block we identify the set of cameras
268 // 3d points and m is the maximum number of cameras seeing any
527 // of all its cameras. In other words, the set of points visible to
542 // weights are the number of 3D points visible to cameras in both the
566 // two cameras that it connects.
591 // the few cameras that have not been clustered.
