Automatic 3D model acquisition and generation of new images from video sequences

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

3D-R2N2: A Unified Approach for Single and Multi-view 3D Object Reconstruction (2016, neutral): “One typical assumption is that features can be matched across views [3,4,5,6] as hypothesized by the majority of the methods based on SFM or SLAM [7,8].”
Object Recognition in the Geometric Era: A Retrospective (2006, methodology): “In retrospect, given recent advances in video feature tracking, it would have been a much better strategy for planar object recognition to compute the planeto-plane projective transformation using all the features in a consistent statistical optimization strategy such as RANSAC [12,26].”
The structure-from-motion reconstruction pipeline - a survey with focus on short image sequences (2010, background): “publications these systems and their improvements are covered [3, 14, 15, 21, 22, 23, 30, 33, 34, 38, 42, 46].”