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Highlighting objects of interest in an image by integrating saliency and depth

机译:通过整合显着性和深度来突出显示图像中感兴趣的对象

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Stereo images have been captured primarily for 3D reconstruction in the past. However, the depth information acquired from stereo can also be used along with saliency to highlight certain objects in a scene. This approach can be used to make still images more interesting to look at, and highlight objects of interest in the scene. We introduce this novel direction in this paper, and discuss the theoretical framework behind the approach. Even though we use depth from stereo in this work, our approach is applicable to depth data acquired from any sensor modality. Experimental results on both indoor and outdoor scenes demonstrate the benefits of our algorithm.
机译:过去,立体图像主要是用于3D重建的。但是,从立体声获取的深度信息也可以与显着性一起使用,以突出显示场景中的某些对象。此方法可用于使静止图像看起来更有趣,并突出显示场景中感兴趣的对象。我们在本文中介绍了这个新颖的方向,并讨论了该方法背后的理论框架。即使我们在这项工作中使用立体声的深度,我们的方法也适用于从任何传感器模态获取的深度数据。在室内和室外场景上的实验结果证明了我们算法的优势。

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