Learning based monocular depth estimation has become popular in recent years. However, training of reliable depth estimators requires large volumes of ground truth depth data, which is expensive to obtain. To overcome this challenge, we propose a novel monocular depth estimation system that adopts pixel-perfect synthetic image training. The model is trained with synthetic data but inferred with realistic images by applying image domain adaptation. Considering realistic constraints, such as shadow regions, which cause the performance drops in depth estimation, the system adopts a dedicated module to remove such ambient shadows from images to guarantee premier performance in the task. Experimental results, with both synthetic and realistic benchmarks, indicate the efficacy and the advantages of the system compared to existing state-of-the-art technologies.


    Zugriff

    Zugriff prüfen

    Verfügbarkeit in meiner Bibliothek prüfen

    Bestellung bei Subito €


    Exportieren, teilen und zitieren



    Titel :

    Monocular Depth Estimation Using Synthetic Images With Shadow Removal*


    Beteiligte:
    Guo, Rui (Autor:in) / Ayinde, Babajide (Autor:in) / Sun, Hao (Autor:in) / Muralidharan, Haritha (Autor:in) / Oguchi, Kentaro (Autor:in)


    Erscheinungsdatum :

    01.10.2019


    Format / Umfang :

    2423340 byte




    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch



    Monocular Depth Estimation Using Information Exchange Network

    Su, Wen / Zhang, Haifeng / Zhou, Quan et al. | IEEE | 2021


    Novel Hybrid Neural Network for Dense Depth Estimation using On-Board Monocular Images

    Jia, Shaocheng / Pei, Xin / Yang, Zi et al. | Transportation Research Record | 2020


    Local Scene Depth Estimation Using Rotating Monocular Camera

    Thomas, Sonu / Kutty, Krishnan / Senthamilarasu, Vinuchackravarthy | British Library Conference Proceedings | 2015


    Local Scene Depth Estimation Using Rotating Monocular Camera

    Kutty, Krishnan / Thomas, Sonu / Senthamilarasu, Vinuchackravarthy | SAE Technical Papers | 2015


    Local scene depth estimation using rotating monocular camera

    Thomas,S. / Kutty,K. / Senthamilarasu,V. et al. | Kraftfahrwesen | 2015