mlsanityData to 14 Oct 2026

Video-Based Rendering Techniques: A Survey

arXiv 2312.05179 ↗First posted 8 Dec 2023cs.CV cs.GRcited by 0

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Abstract (arXiv)

Three-dimensional reconstruction of events recorded on images has been a common challenge between computer vision and computer graphics for a long time. Estimating the real position of objects and surfaces using vision as an input is no trivial task and has been approached in several different ways. Although huge progress has been made so far, there are several open issues to which an answer is needed. The use of videos as an input for a rendering process (video-based rendering, VBR) is something that recently has been started to be looked upon and has added many other challenges and also solutions to the classical image-based rendering issue (IBR). This article presents the state of art on video-based rendering and image-based techniques that can be applied on this scenario, evaluating the open issues yet to be solved, indicating where future work should be focused.

Key facts. No citing papers in the map yet (data through 14 Oct 2026). Builds on 2 of its 134 references that are in the map. First posted on arXiv 8 Dec 2023.

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2 of 134 references.

References · 2

  1. 2014Block matching algorithm for motion estimation based on Artificial Bee Colony (ABC)cited by 2
  2. 2014Block matching algorithm based on Differential Evolution for motion estimationcited by 1

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