Journal ArticleDOI
Joint image and depth completion in shape-from-focus: Taking a cue from parallax
Rajiv R. Sahay,A. N. Rajagopalan +1 more
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TLDR
The interesting possibility of exploiting motion parallax cue in the images captured in Shape-from-focus with a practical camera to jointly inpaint the focused image and depth map is demonstrated.Abstract:
Shape-from-focus (SFF) uses a sequence of space-variantly defocused observations captured with relative motion between camera and scene. It assumes that there is no motion parallax in the frames. This is a restriction and constrains the working environment. Moreover, SFF cannot recover the structure information when there are missing data in the frames due to CCD sensor damage or unavoidable occlusions. The capability of filling-in plausible information in regions devoid of data is of critical importance in many applications. Images of 3D scenes captured by off-the-shelf cameras with relative motion commonly exhibit parallax-induced pixel motion. We demonstrate the interesting possibility of exploiting motion parallax cue in the images captured in SFF with a practical camera to jointly inpaint the focused image and depth map.read more
Citations
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Journal ArticleDOI
Dynamic occlusion detection and inpainting of in situ captured terrestrial laser scanning point clouds sequence
Chi Chen,Bisheng Yang +1 more
TL;DR: The proposed method achieves high precision and recall rate for dynamic occlusion detection and inpainting method for sequential TLS point clouds captured from one scan position and produces clean inpainted point clouds for further processing.
Proceedings ArticleDOI
A multimodal approach for image de-fencing and depth inpainting
TL;DR: This work proposes a multi-modal approach to address the problem of removal of fences/occlusions from images captured using a Kinect camera, and model the unoccluded image and the completed depth map as two distinct Markov random fields, respectively, and obtain their maximum a-posteriori estimates using loopy belief propagation.
Journal ArticleDOI
Depth inpainting by tensor voting.
TL;DR: This paper proposes a fast and reliable algorithm for depth map inpainting using the tensor voting (TV) framework, and align the depth maps of the training set with the target (defective) depth map and evaluates the goodness of depth estimates among candidate values using 3D TV.
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.
Journal ArticleDOI
Shape extraction of low‐textured objects in video microscopy
Rajiv R. Sahay,A. N. Rajagopalan +1 more
TL;DR: This paper exploits spatial dependencies by modeling the shape of the object with a discontinuity‐adaptive Markov random field wherein the focus measure profile is used to judiciously control the degree of smoothness.
References
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Proceedings ArticleDOI
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S.S. Bhasin,Subhasis Chaudhuri +1 more
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