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This project has been funded under projects TIN2016-75279-P and IFI16/00033 (ISCIII) of Spain Ministry of Economy, Industry and Competitiveness, and FEDER. Thanks to NVidia for donating the GPU The authors declare that there is no conflict of interest. Titan Xp used for the experiments presented in this work. We also thank Shafaei and Little for providing their error and precision results used in Acknowledgements our comparative plots.

Analysis of institutional authors

Romero-Ramirez, Francisco JAuthor

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November 4, 2024
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3D human pose estimation from depth maps using a deep combination of poses

Publicated to:Journal Of Visual Communication And Image Representation. 55 627-639 - 2018-08-01 55(), DOI: 10.1016/j.jvcir.2018.07.010

Authors: Marin-Jimenez, Manuel J; Romero-Ramirez, Francisco J; Munoz-Salinas, Rafael; Medina-Carnicer, Rafael

Affiliations

Inst Maimonides Invest Biomed IMIBIC, Ave Menendez Pida1 S-N, Cordoba 14004, Spain - Author
Univ Cordoba, Dept Informat & Anal Numer, Campus Rabanales, E-14071 Cordoba, Spain - Author

Abstract

Many real-world applications require the estimation of human body joints for higher-level tasks as, for example, human behaviour understanding. In recent years, depth sensors have become a popular approach to obtain three-dimensional information. The depth maps generated by these sensors provide information that can be employed to disambiguate the poses observed in two-dimensional images. This work addresses the problem of 3D human pose estimation from depth maps employing a Deep Learning approach. We propose a model, named Deep Depth Pose (DDP), which receives a depth map containing a person and a set of predefined 3D prototype poses and returns the 3D position of the body joints of the person. In particular, DDP is defined as a ConvNet that computes the specific weights needed to linearly combine the prototypes for the given input. We have thoroughly evaluated DDP on the challenging 'ITOP' and 'UBC3V' datasets, which respectively depict realistic and synthetic samples, defining a new state-of-the-art on them.

Keywords

3d human poseBody limbsConvnetDepth maps

Quality index

Bibliometric impact. Analysis of the contribution and dissemination channel

The work has been published in the journal Journal Of Visual Communication And Image Representation due to its progression and the good impact it has achieved in recent years, according to the agency Scopus (SJR), it has become a reference in its field. In the year of publication of the work, 2018, it was in position , thus managing to position itself as a Q1 (Primer Cuartil), in the category Media Technology.

From a relative perspective, and based on the normalized impact indicator calculated from World Citations provided by WoS (ESI, Clarivate), it yields a value for the citation normalization relative to the expected citation rate of: 1.25. This indicates that, compared to works in the same discipline and in the same year of publication, it ranks as a work cited above average. (source consulted: ESI Nov 14, 2024)

This information is reinforced by other indicators of the same type, which, although dynamic over time and dependent on the set of average global citations at the time of their calculation, consistently position the work at some point among the top 50% most cited in its field:

  • Field Citation Ratio (FCR) from Dimensions: 10.38 (source consulted: Dimensions Jul 2025)

Specifically, and according to different indexing agencies, this work has accumulated citations as of 2025-07-22, the following number of citations:

  • WoS: 27
  • Google Scholar: 59

Impact and social visibility

From the perspective of influence or social adoption, and based on metrics associated with mentions and interactions provided by agencies specializing in calculating the so-called "Alternative or Social Metrics," we can highlight as of 2025-07-22:

  • The use, from an academic perspective evidenced by the Altmetric agency indicator referring to aggregations made by the personal bibliographic manager Mendeley, gives us a total of: 84.
  • The use of this contribution in bookmarks, code forks, additions to favorite lists for recurrent reading, as well as general views, indicates that someone is using the publication as a basis for their current work. This may be a notable indicator of future more formal and academic citations. This claim is supported by the result of the "Capture" indicator, which yields a total of: 89 (PlumX).

With a more dissemination-oriented intent and targeting more general audiences, we can observe other more global scores such as:

  • The Total Score from Altmetric: 4.
  • The number of mentions on the social network X (formerly Twitter): 1 (Altmetric).