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A Taxonomy of 3D Occluded Objects Recognition Techniques

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3D Research

Abstract

The overall performances of object recognition techniques under different condition (e.g., occlusion, viewpoint, and illumination) have been improved significantly in recent years. New applications and hardware are shifted towards digital photography, and digital media. This faces an increase in Internet usage requiring object recognition for certain applications; particularly occulded objects. However occlusion is still an issue unhandled, interlacing the relations between extracted feature points through image, research is going on to develop efficient techniques and easy to use algorithms that would help users to source images; this need to overcome problems and issues regarding occlusion. The aim of this research is to review recognition occluded objects algorithms and figure out their pros and cons to solve the occlusion problem features, which are extracted from occluded object to distinguish objects from other co-existing objects by determining the new techniques, which could differentiate the occluded fragment and sections inside an image.

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Authors and Affiliations

  1. Faculty of Computing, Universiti Teknologi Malaysia, 81310, Skudai, Johor Bahru, Malaysia

    Shiva Soleimanizadeh & Dzulkifli Mohamad

  2. College of Computer and Information Sciences, Prince Sultan University, Riyadh, 11583, Saudi Arabia

    Tanzila Saba & Jarallah Saleh Al-ghamdi

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  1. Shiva Soleimanizadeh
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  2. Dzulkifli Mohamad
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  3. Tanzila Saba
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  4. Jarallah Saleh Al-ghamdi
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Correspondence to Tanzila Saba.

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Soleimanizadeh, S., Mohamad, D., Saba, T. et al. A Taxonomy of 3D Occluded Objects Recognition Techniques. 3D Res 7, 4 (2016). https://doi.org/10.1007/s13319-016-0080-0

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