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The Visual Computer, 2021
Image dehazing aims to remove the haze noise and restore the image content from hazy images. It is a challenging task because of the unbalanced distribution of the haze noise and the variety of the image contents. Most existing methods apply convolutional neural networks to learn the dehazing process by blind end-to-end training, which relies on the ...
Fei Yang, Qian Zhang
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Image dehazing aims to remove the haze noise and restore the image content from hazy images. It is a challenging task because of the unbalanced distribution of the haze noise and the variety of the image contents. Most existing methods apply convolutional neural networks to learn the dehazing process by blind end-to-end training, which relies on the ...
Fei Yang, Qian Zhang
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Image Outpainting with Depth Assistance
2021In some scenarios such as autonomous diriving, we can get a sparse point cloud with a large field of view, but an RGB image with a limited FoV. This paper studies the problem of image expansion using depth information converted from sparse point cloud projection. General image expansion tasks only use images as input for expansion.
Lei Zhang 0116 +4 more
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Depth annotations: Designing depth of a single image for depth-based effects
Computers & Graphics, 2018We present a novel pipeline to generate a depth map from a single image that can be used as input for a variety of artistic depth-based effects. In such a context, the depth maps do not have to be perfect but are rather designed with respect to a desired result.
Liao, J. (author) +2 more
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Probing depth in monocular images
Biological Cybernetics, 1987It is generally expected that depth (distance) is the internal representational primitive that corresponds to much of the perception of 3D. We tested this assumption in monocular surface stimuli that are devoid of distance information (due to orthographic projection and the chosen surface shape, with perspective projection used as a control) and yet ...
K A, Stevens, A, Brookes
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Proceedings., IEEE International Conference on Robotics and Automation, 2002
Motion relative to a surface is addressed. Image flow can be caused either by motion of objects in the world or by motion of the eye through the world. If knowledge exists of eye motion, dense range maps can be computed locally for all stationary object pixels.
James S. Albus, Tsai Hong
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Motion relative to a surface is addressed. Image flow can be caused either by motion of objects in the world or by motion of the eye through the world. If knowledge exists of eye motion, dense range maps can be computed locally for all stationary object pixels.
James S. Albus, Tsai Hong
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Object discovery in depth images
2016 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA), 2016We present an unsupervised method for discovering objects from depth information. Our method can identify new common objects appearing in different depth images. We use 2D bounding box proposals to detect candidate locations of objects in each depth image, and then retrieve the corresponding 3D bounding boxes using the depth information. Invalid object
Tzu-Wei Huang +3 more
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Parsing the Hand in Depth Images
IEEE Transactions on Multimedia, 2014Hand pose tracking and gesture recognition are useful for human-computer interaction, while a major problem is the lack of discriminative features for compact hand representation. We present a robust hand parsing scheme to extract a high-level description of the hand from the depth image.
Hui Liang 0003 +2 more
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Robust enhancement of depth images from depth sensors
Computers & Graphics, 2017In recent years, depth cameras (such as Microsoft Kinect and ToF cameras) have gained much popularity in computer graphics, visual computing and virtual reality communities due to their low price and easy availability. While depth cameras (e.g. Microsoft Kinect) provide RGB images along with real-time depth information at high frame rate, the depth ...
A. B. M. Tariqul Islam +3 more
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Kinetic depth images: flexible generation of depth perception
The Visual Computer, 2016In this paper we present a systematic approach to create smoothly varying images from a pair of photographs to facilitate enhanced awareness of the depth structure of a given scene. Since our system does not rely on sophisticated display technologies such as stereoscopy or auto-stereoscopy for depth awareness, it (a) is inexpensive and widely ...
Sujal Bista +2 more
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Depth-resolved Lensless Imaging
Imaging and Applied Optics 2018 (3D, AO, AIO, COSI, DH, IS, LACSEA, LS&C, MATH, pcAOP), 2018A numerical approach is developed to reconstruct 3D images from a set of wavelengthand phase-resolved diffraction patterns, resulting in a computational depth-resolved imaging method.
Du, M., Eikema, K. S.E., Witte, S.
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