Depth Estimation using FCNN
نویسندگان
چکیده
منابع مشابه
Generalised Pose Estimation Using Depth
Estimating the pose of an object, be it articulated, deformable or rigid, is an important task, with applications ranging from HumanComputer Interaction to environmental understanding. The idea of a general pose estimation framework, capable of being rapidly retrained to suit a variety of tasks, is appealing. In this paper a solution is proposed requiring only a set of labelled training images ...
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This work is focused on assigning a depth label to each pixel in the image. We consider off-the-shelf algorithms that provide depth information from multiple views or depth information directly obtained from RGB-d sensors. Both of them are common scenarios of a well studied problem where many times we get incomplete depth information. Then, user interaction becomes necessary to finish, improve ...
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متن کاملDepth Estimation using Stereo Fish-Eye Lenses
This paper presents the estimation of depth in an indoor, structured environment based on a stereo setup consisting of two fish-eye lenses, with parallel optical axes, mounted on a robot platform. The use of fish-eye lenses provides for a large field of view to estimate better the depth of features very close to the lens. To extract significant information from the fish-eye lens images, we firs...
متن کاملDepth Estimation Using Monocular and Stereo Cues
Depth estimation in computer vision and robotics is most commonly done via stereo vision (stereopsis), in which images from two cameras are used to triangulate and estimate distances. However, there are also numerous monocular visual cues— such as texture variations and gradients, defocus, color/haze, etc.—that have heretofore been little exploited in such systems. Some of these cues apply even...
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ژورنال
عنوان ژورنال: Bioscience Biotechnology Research Communications
سال: 2020
ISSN: 0974-6455,2321-4007
DOI: 10.21786/bbrc/13.14/86