An integrated artificial vision framework for assisting visually impaired users

An integrated artificial vision framework for assisting visually impaired users
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DOI:
10.1016/j.cviu.2015.11.007
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发表时间:
2016-08-01
影响因子:
4.5
通讯作者:
Zini, Luca
Zini, Luca
中科院分区:
计算机科学3区
文献类型:
--
作者:
Chessa, Manuela;Noceti, Nicoletta;Zini, Luca

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我们提出了一个概念框架的灵感来自生物视觉,它集成了面向行动的低层次视觉功能-典型的所谓的“哪里”背侧通路-识别和识别能力-常见的“什么”腹侧通路。虽然它们独立进行,但这些互补的视觉模型可以提供更深入的场景理解和更有效的计算框架。在这项工作中,我们特别提到了一组视频分析模块,其中包括语义注释的场景和3D环境的解释。我们讨论并定性评估不同功能之间可能的连接和集成,将我们的分析建立在一组特定用例上,描述视障用户在不熟悉的环境中找到自己的方式。(C)2015 Elsevier Inc. All rights reserved.
We present a conceptual framework inspired by biological vision which integrates low-level vision functionalities oriented to actions - typical of the so-called "where" dorsal pathway - with identification and recognition capabilities - common to the "what" ventral pathway. Although they proceed independently, these complementary vision models may provide a deeper scene understanding and a more efficient computational framework. In this work, we refer specifically to a set of video analysis modules, which include semantic annotations of the scene and 3D environment interpretation. We discuss and qualitatively evaluate possible connections and integrations between different functionalities, grounding our analysis on a set of specific use cases, depicting visually impaired users finding their way in unfamiliar environments. (C) 2015 Elsevier Inc. All rights reserved.