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Journal of Imaging, Volume 7, Issue 12

December 2021 - 33 articles

Cover Story: In this work, we address the problem of estimating a 3D body from single images of people wearing loose clothes. To this aim, we make use of the SMPL parametric body model and observe that shape parameters encoding the body shape should not change regardless of whether the subject is wearing clothes or not. To improve shape estimation under clothing, we train a deep network to regress the shape parameters from a single image. To increase robustness to clothing, we build our training dataset by associating the shape parameters of a “minimally clothed” person to other samples of the same person wearing looser clothes.View this paper
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Articles (33)

  • Article
  • Open Access
6 Citations
3,369 Views
13 Pages

On the Relationship between Corneal Biomechanics, Macrostructure, and Optical Properties

  • Francisco J. Ávila,
  • Maria Concepción Marcellán and
  • Laura Remón

18 December 2021

Optical properties of the cornea are responsible for correct vision; the ultrastructure allows optical transparency, and the biomechanical properties govern the shape, elasticity, or stiffness of the cornea, affecting ocular integrity and intraocular...

  • Article
  • Open Access
1 Citations
2,375 Views
10 Pages

17 December 2021

We consider a natural extension of the Petitot–Citti–Sarti model of the primary visual cortex. In the extended model, the curvature of contours is taken into account. The occluded contours are completed via sub-Riemannian geodesics in the...

  • Article
  • Open Access
6 Citations
3,583 Views
13 Pages

17 December 2021

Word spotting strategies employed in historical handwritten documents face many challenges due to variation in the writing style and intense degradation. In this paper, a new method that permits efficient and effective word spotting in handwritten do...

  • Article
  • Open Access
4 Citations
3,739 Views
20 Pages

17 December 2021

The massive generation of data, which includes images and videos, has made data management, analysis, information extraction difficult in recent years. To gather relevant information, this large amount of data needs to be grouped. Real-life data may...

  • Article
  • Open Access
7 Citations
4,502 Views
18 Pages

A System for Real-Time, Online Mixed-Reality Visualization of Cardiac Magnetic Resonance Images

  • Dominique Franson,
  • Andrew Dupuis,
  • Vikas Gulani,
  • Mark Griswold and
  • Nicole Seiberlich

14 December 2021

Image-guided cardiovascular interventions are rapidly evolving procedures that necessitate imaging systems capable of rapid data acquisition and low-latency image reconstruction and visualization. Compared to alternative modalities, Magnetic Resonanc...

  • Article
  • Open Access
8 Citations
3,197 Views
16 Pages

Characterisation of Single-Phase Fluid-Flow Heterogeneity Due to Localised Deformation in a Porous Rock Using Rapid Neutron Tomography

  • Maddi Etxegarai,
  • Erika Tudisco,
  • Alessandro Tengattini,
  • Gioacchino Viggiani,
  • Nikolay Kardjilov and
  • Stephen A. Hall

14 December 2021

The behaviour of subsurface-reservoir porous rocks is a central topic in the resource engineering industry and has relevant applications in hydrocarbon, water production, and CO2 sequestration. One of the key open issues is the effect of deformation...

  • Article
  • Open Access
12 Citations
3,279 Views
16 Pages

A Pipelined Tracer-Aware Approach for Lesion Segmentation in Breast DCE-MRI

  • Antonio Galli,
  • Stefano Marrone,
  • Gabriele Piantadosi,
  • Mario Sansone and
  • Carlo Sansone

14 December 2021

The recent spread of Deep Learning (DL) in medical imaging is pushing researchers to explore its suitability for lesion segmentation in Dynamic Contrast-Enhanced Magnetic-Resonance Imaging (DCE-MRI), a complementary imaging procedure increasingly use...

  • Article
  • Open Access
5 Citations
3,310 Views
25 Pages

9 December 2021

The number of collision fatalities is one of the main quantification measures for research concerning wind power impacts on birds and bats. Despite being integral in ongoing investigations as well as regulatory approvals, the state-of-the-art method...

  • Article
  • Open Access
2 Citations
2,842 Views
21 Pages

9 December 2021

We present a novel cortically-inspired image completion algorithm. It uses five-dimensional sub-Riemannian cortical geometry, modeling the orientation, spatial frequency and phase-selective behavior of the cells in the visual cortex. The algorithm ex...

  • Article
  • Open Access
1 Citations
2,720 Views
17 Pages

9 December 2021

This paper presents reliable estimation of deterioration levels via late fusion using multi-view distress images for practical inspection. The proposed method simultaneously solves the following two problems that are necessary to support the practica...

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J. Imaging - ISSN 2313-433X