Book ChapterDOI
Real Aperture Axial Stereo: Solving for Correspondences in Blur
Rajiv R. Sahay,A. N. Rajagopalan +1 more
- Vol. 5748, pp 362-371
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TLDR
This work proposes an algorithm which fuses the twin cues of defocus and parallax for recovering 3D structure and shows that in real-aperture axial stereo, both blur and pixel motion are tightly coupled to the underlying shape of the object.Abstract:
When there is relative motion along the optical axis between a real-aperture camera and a 3D scene, the sequence of images captured will not only be space-variantly defocused but will also exhibit pixel motion due to motion parallax. Existing single viewpoint techniques such as shape-from-focus (SFF)/depth-from-defocus (DFD) and axial stereo operate in mutually exclusive domains. SFF and DFD assume no pixel motion and use the focus and defocus information, respectively, to recover structure. Axial stereo, on the other hand, assumes a pinhole camera and uses the disparity cue to infer depth. We show that in real-aperture axial stereo, both blur and pixel motion are tightly coupled to the underlying shape of the object. We propose an algorithm which fuses the twin cues of defocus and parallax for recovering 3D structure. The effectiveness of the proposed method is validated with many examples.read more
Citations
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Book
Depth Map and 3D Imaging Applications: Algorithms and Technologies
TL;DR: Depth Map and 3D Imaging Applications: Algorithms and Technologies present various 3D algorithms developed in the recent years and to investigate the application of 3D methods in various domains.
Journal ArticleDOI
A novel shape from focus method based on 3D steerable filters for improved performance on treating textureless region
Tiantian Fan,Hongbin Yu +1 more
TL;DR: A novel shape from focus method combining 3D steerable filter for improved performance on treating textureless region was proposed and took both of the edges’ response and the axial imaging blur degree into consideration during treatment.
Journal ArticleDOI
Dealing With Parallax in Shape-From-Focus
Rajiv R. Sahay,A. N. Rajagopalan +1 more
TL;DR: The degradation model accounts for pixel migration effects in the observations due to parallax resulting in a generalization of the SFF technique and shows that pixel motion and defocus blur therein are tightly coupled to the underlying shape of the 3-D object.
Journal ArticleDOI
Towards Unrestrained Depth Inference with Coherent Occlusion Filling
Arnav Bhavsar,A. N. Rajagopalan +1 more
TL;DR: This work proposes a depth estimation framework using calibrated images captured under general camera motion and lens parameter variations that seeks to generalize the constrained areas of stereo and shape from defocus (SFD)/focus (SFF) by handling, in tandem, various effects such as focus variation, zoom, parallax and stereo occlusions, all under one roof.
Patent
Recovering 3d structure using blur and parallax
TL;DR: In this paper, a system and method for generating a focused image of an object is presented, which consists of estimating an initial depth profile of the object, estimating a parallax parameter and a blur parameter for each pixel in of the plurality of images and generating a focus image and a corrected depth profile using a posterior energy function.
References
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Fast approximate energy minimization via graph cuts
TL;DR: This work presents two algorithms based on graph cuts that efficiently find a local minimum with respect to two types of large moves, namely expansion moves and swap moves that allow important cases of discontinuity preserving energies.
Journal ArticleDOI
What energy functions can be minimized via graph cuts
Vladimir Kolmogorov,R. Zabin +1 more
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Proceedings ArticleDOI
Image and depth from a conventional camera with a coded aperture
TL;DR: A simple modification to a conventional camera is proposed to insert a patterned occluder within the aperture of the camera lens, creating a coded aperture, and introduces a criterion for depth discriminability which is used to design the preferred aperture pattern.