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Saliency Detection with Flash and No-flash Image Pairs

机译:使用Flash和非Flash映像对进行显着性检测

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In this paper, we propose a new saliency detection method using a pair of flash and no-flash images. Our approach is inspired by two observations. First, only the foreground objects are significantly brightened by the flash as they are relatively nearer to the camera than the background. Second, the brightness variations introduced by the flash provide hints to surface orientation changes. Accordingly, the first observation is explored to form the background prior to eliminate background distraction. The second observation provides a new orientation cue to compute surface orientation contrast. These photometric cues from the two observations are independent of visual attributes like color, and they provide new and robust distinctiveness to support salient object detection. The second observation further leads to the introduction of new spatial priors to constrain the regions rendered salient to be compact both in the image plane and in 3D space. We have constructed a new flasho-flash image dataset. Experiments on this dataset show that the proposed method successfully identifies salient objects from various challenging scenes that the state-of-the-art methods usually fail.
机译:在本文中,我们提出了一种使用一对闪光图像和不闪光图像的显着性检测方法。我们的方法受到两个观察结果的启发。首先,只有前景物体被闪光灯显着增亮,因为它们比背景距离相机更近。其次,由闪光灯引起的亮度变化为表面取向的变化提供了提示。因此,在消除背景干扰之前,探索了第一观察结果以形成背景。第二个观察结果提供了新的方向提示来计算表面方向对比度。来自两个观测值的这些光度学线索与颜色等视觉属性无关,并且它们提供了新的强大的独特性来支持显着的物体检测。第二个观察结果进一步导致引入新的空间先验,以约束显着突出的区域在图像平面和3D空间中都变得紧凑。我们已经构建了一个新的Flash / No-Flash图像数据集。在该数据集上进行的实验表明,该方法成功地从各种挑战性场景中识别出了显着物体,而这些挑战性场景通常是最先进的方法所无法解决的。

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