Learning Depth from Single Monocular Images Using Deep Convolutional Neural Fields
نویسندگان
چکیده
منابع مشابه
Learning Depth from Single Monocular Images
We consider the task of depth estimation from a single monocular image. We take a supervised learning approach to this problem, in which we begin by collecting a training set of monocular images (of unstructured outdoor environments which include forests, trees, buildings, etc.) and their corresponding ground-truth depthmaps. Then, we apply supervised learning to predict the depthmap as a funct...
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Recent works have shown the benefit of integrating Conditional Random Fields (CRFs) models into deep architectures for improving pixel-level prediction tasks. Following this line of research, in this paper we introduce a novel approach for monocular depth estimation. Similarly to previous works, our method employs a continuous CRF to fuse multi-scale information derived from different layers of...
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Depth estimation from single monocular images is a key component of scene understanding and has benefited largely from deep convolutional neural networks (CNN) recently. In this article, we take advantage of the recent deep residual networks and propose a simple yet effective approach to this problem. We formulate depth estimation as a pixel-wise classification task. Specifically, we first disc...
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Depth image super-resolution is an extremely challenging task due to the information loss in sub-sampling. Deep convolutional neural network have been widely applied to color image super-resolution. Quite surprisingly, this success has not been matched to depth super-resolution. This is mainly due to the inherent difference between color and depth images. In this paper, we bridge up the gap and...
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Computing pixel depth values provide a basis for understanding the 3D geometrical structure of an image. As it has been presented in recent research, using stereo images provides an accurate depth due to the advantage of having local correspondences; however, the processing time of these methods are still an open issue. To solve this problem, it has been suggested to use single images to comput...
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ژورنال
عنوان ژورنال: IEEE Transactions on Pattern Analysis and Machine Intelligence
سال: 2016
ISSN: 0162-8828,2160-9292
DOI: 10.1109/tpami.2015.2505283