Search Results - "de Oliveira, Adriano Q."

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  1. 1

    An Artifact-Type Aware DIBR Method for View Synthesis by de Oliveira, Adriano Q., Walter, Marcelo, Jung, Claudio R.

    Published in IEEE signal processing letters (01-11-2018)
    “…Depth-image-based rendering is a popular way to produce content for three-dimensional television and free viewpoint video, allowing the synthesis of numerous…”
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    Journal Article
  2. 2

    A Hierarchical Superpixel-Based Approach for DIBR View Synthesis by de Oliveira, Adriano Q., Silveira, Thiago L. T. da, Walter, Marcelo, Jung, Claudio R.

    “…View synthesis allows observers to explore static scenes using aligned color images and depth maps captured in a preset camera path. Among the options,…”
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    Journal Article
  3. 3

    A Temporally Coherent Background Model for DIBR View Synthesis by de Oliveira, Adriano Q., da Silveira, Thiago L. T., Walter, Marcelo, Jung, Claudio R.

    “…Aligned color and depth images allow exploring a scene by projecting the virtual camera to arbitrary positions. Depth-image-based rendering (DIBR) methods are…”
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    Conference Proceeding
  4. 4

    Fast and accurate superpixel algorithms for 360∘ images by da Silveira, Thiago L.T., de Oliveira, Adriano Q., Walter, Marcelo, Jung, Cláudio R.

    Published in Signal processing (01-12-2021)
    “…•We propose a method for multiscale, border-guided 360∘ image oversegmentation.•We propose a superpixel method for 360 ∘ images that concern borders and…”
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    Journal Article
  5. 5

    On the Performance of DIBR Methods When Using Depth Maps from State-of-the-art Stereo Matching Algorithms by de Oliveira, Adriano Q., da Silveira, Thiago L. T., Walter, Marcelo, Jung, Claudio R.

    “…In this paper we compare the quality of synthesized views produced by four DIBR methods when fed by depth maps estimated by five state-of-the-art stereo…”
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    Conference Proceeding