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Stereoscopic image generation based on depth images
2004 International Conference on Image Processing, 2004. ICIP '04., 2005A depth-image-based rendering system for generating new views is proposed. One important aspect of the proposed system is that the depth maps are pre-processed using an asymmetric filter to smoothen the sharp changes in depth at object boundaries. In addition to ameliorating the effects of blocky artifacts and other distortions contained in the depth ...
Liang Zhang 0014 +2 more
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Depth map generation by image classification
SPIE Proceedings, 2004This paper presents a novel and fully automatic technique to estimate depth information from a single input image. The proposed method is based on a new image classification technique able to classify digital images (also in Bayer pattern format) as indoor, outdoor with geometric elements or outdoor without geometric elements.
Sebastiano Battiato +4 more
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Structural Modeling from Depth Images
IEEE Transactions on Visualization and Computer Graphics, 2015In this work, we present a new automatic system for scene reconstruction of high-level structural models. We start with identifying planar regions in depth images obtained with a SLAM system. Our main contribution is an approach which identifies constraints such as incidence and orthogonality of planar surfaces and uses them in an incremental ...
Thanh Nguyen 0002 +2 more
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2019
As robots are developed for large-scale applications in autonomous driving, package delivery, and agriculture, there is a growing need for affordable and reliable depth sensing. Robots use active illumination sensors like scanning LIDAR and depth cameras to perceive their worlds. Scanning LIDAR is prevalent because it offers long-range, robust sensing,
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As robots are developed for large-scale applications in autonomous driving, package delivery, and agriculture, there is a growing need for affordable and reliable depth sensing. Robots use active illumination sensors like scanning LIDAR and depth cameras to perceive their worlds. Scanning LIDAR is prevalent because it offers long-range, robust sensing,
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2012
This thesis depicts approaches toward real-time depth sensing. While humans are very good at estimating distances and hence are able to smoothly control vehicles and their own movements, machines often lack the ability to sense their environment in a manner comparable to humans. This discrepancy prevents the automation of certain job steps.
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This thesis depicts approaches toward real-time depth sensing. While humans are very good at estimating distances and hence are able to smoothly control vehicles and their own movements, machines often lack the ability to sense their environment in a manner comparable to humans. This discrepancy prevents the automation of certain job steps.
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A depth enhancement strategy for kinect depth image
MIPPR 2017: Pattern Recognition and Computer Vision, 2018Kinect is a motion sensing input device which is widely used in computer vision and other related fields. However, there are many inaccurate depth data in Kinect depth images even Kinect v2. In this paper, an algorithm is proposed to enhance Kinect v2 depth images. According to the principle of its depth measuring, the foreground and the background are
Hanping Hu +6 more
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SEG Technical Program Expanded Abstracts 1999, 1999
Abstract Depth imaging with multiples is a prestack depth migration method that uses multiples as the signal for more accurate boundary mapping and amplitude recovery. The idea is partially related to model-based multiple-suppression techniques and reverse-time depth migration. Conventional reverse-time migration uses the two-way wave
Oong K. Youn, Hua-wei Zhou
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Abstract Depth imaging with multiples is a prestack depth migration method that uses multiples as the signal for more accurate boundary mapping and amplitude recovery. The idea is partially related to model-based multiple-suppression techniques and reverse-time depth migration. Conventional reverse-time migration uses the two-way wave
Oong K. Youn, Hua-wei Zhou
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Depth computations from polyhedral images
Image and Vision Computing, 1992A method is developed for the computation of depth maps, modulo scale, from one single image of a polyhedral scene. Only affine shape properties of the scene and image are used, hence no metrical information. Results from simple experiments show good performance, both what concerns exactness and robustness.
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60th EAGE Conference and Exhibition, 1998
Building a depth velocity model for prestack depth migration is a time consuming and complicated task . To assist this talk we require as much a priori information as possible. Additionally we use the simplest methods which will address the problem of building the vetocity model for the current structure (Bloor et al. 1997, Stork et al. 1997). However,
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Building a depth velocity model for prestack depth migration is a time consuming and complicated task . To assist this talk we require as much a priori information as possible. Additionally we use the simplest methods which will address the problem of building the vetocity model for the current structure (Bloor et al. 1997, Stork et al. 1997). However,
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Single-image depth estimation using relative depths
Journal of Visual Communication and Image Representation, 2022Jae-Han Lee, Chang-Su Kim 0001
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