资源论文A-Contrario Horizon-First Vanishing Point Detection Using Second-Order Grouping Laws

A-Contrario Horizon-First Vanishing Point Detection Using Second-Order Grouping Laws

2019-10-23 | |  64 |   50 |   0
Abstract. We show that, in images of man-made environments, the horizon line can usually be hypothesized based on a-contrario detections of second-order grouping events. This allows constraining the extraction of the horizontal vanishing points on that line, thus reducing false detections. Experiments made on three datasets show that our method, not only achieves state-of-the-art performance w.r.t. horizon line detection on two datasets, but also yields much less spurious vanishing points than the previous top-ranked methods

上一篇:Viewpoint Estimation—Insights & Model

下一篇:Unveiling the Power of Deep Tracking

用户评价
全部评价

热门资源

  • Stratified Strate...

    In this paper we introduce Stratified Strategy ...

  • The Variational S...

    Unlike traditional images which do not offer in...

  • Learning to learn...

    The move from hand-designed features to learned...

  • A Mathematical Mo...

    Direct democracy, where each voter casts one vo...

  • Learning to Predi...

    Much of model-based reinforcement learning invo...