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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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Depth image-based rendering with low resolution depth
2009 16th IEEE International Conference on Image Processing (ICIP), 2009This paper proposes a new approach for depth image-based rendering (DIBR) with low resolution depth using the 3D propagation algorithm. Our novel depth edge enhancement method efficiently corrects and sharpens the depth edges in the propagated depth image using available high resolution color information.
Quang H. Nguyen +2 more
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Intrinsic Depth: Improving Depth Transfer with Intrinsic Images
2015 IEEE International Conference on Computer Vision (ICCV), 2015We formulate the estimation of dense depth maps from video sequences as a problem of intrinsic image estimation. Our approach synergistically integrates the estimation of multiple intrinsic images including depth, albedo, shading, optical flow, and surface contours.
Kong, N., Black, M.
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Imaged Depth Versus True Depth
Proceedings, 2015Summary The use of the term ‘velocity’ to describe both the true propagation velocity and the modelling “velocity” used in processing (what is here termed ‘pro-velocity’) has given rise to a damaging level of confusion whereby a great majority of geoscientists take the depth image to be a good representation of depth in the subsurface. The relationship
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A new depth image quality metric using a pair of color and depth images
Multimedia Tools and Applications, 2016Typical depth quality metrics require the ground truth depth image or stereoscopic color image pair, which are not always available in many practical applications. In this paper, we propose a new depth image quality metric which demands only a single pair of color and depth images.
Thanh-Ha Le +2 more
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Efficient Depth Propagation for Constructing a Layered Depth Image from a Single Image
Computer Graphics Forum, 2014AbstractIn this paper, we propose an interactive technique for constructing a 3D scene via sparse user inputs. We represent a 3D scene in the form of a Layered Depth Image (LDI) which is composed of a foreground layer and a background layer, and each layer has a corresponding texture and depth map.
Satoshi Iizuka +4 more
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