A Prior-Knowledge Based Casted Shadows Prediction Model Featuring OpenStreetMap Data - Archive ouverte HAL
Communication Dans Un Congrès Année : 2013

A Prior-Knowledge Based Casted Shadows Prediction Model Featuring OpenStreetMap Data

Résumé

We present a prior-knowledge based shadow prediction model, focused on outdoors scene, which allows to predict pixels, on the camera, which are likely to be part of shadows casted by surrounded buildings. We employ a geometrical approach which models surrounding buildings, their shadow and the camera. One innovative aspect of our method is to retrieve building datas automatically from OpenStreetMap, a community project providing free geographic data. We provide both qualitative and quantitative results in two different contexts to assess performance of our prediction model. While our method cannot achieve pixel precision easily alone, it opens opportunities for more elaborate shadow detection algorithms and occlusion-aware models.
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Dates et versions

hal-01339145 , version 1 (29-06-2016)

Identifiants

  • HAL Id : hal-01339145 , version 1

Citer

Matthieu Rogez, Laure Tougne, Lionel Robinault. A Prior-Knowledge Based Casted Shadows Prediction Model Featuring OpenStreetMap Data. VISAPP, Jan 2013, Barcelone, Spain. pp.602-607. ⟨hal-01339145⟩
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