Review of image-based rendering techniques

Shum, Harry; Kang, Sing Bing

doi:10.1117/12.386541

Cited by 302 publications

(179 citation statements)

References 40 publications

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“…Now Image Morphing technique [10] [11] is based on pixel position and color interpolation among original images.…”

Section: Research Background Aim and Significancementioning

confidence: 99%

research on algorithm of image mosaic /

Wang¹

2008

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“…Now Image Morphing technique [10] [11] is based on pixel position and color interpolation among original images.…”

Section: Research Background Aim and Significancementioning

confidence: 99%

research on algorithm of image mosaic /

Wang¹

2008

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“…There exist also hybrid techniques which combine the advantages of the two previous approaches by using an approximate scene model, often called a geometric proxy, to interpolate the appearance from a relatively smaller number of camera images compared to pure image-based techniques. A review of these techniques can be found in [19,23].…”

Section: Introductionmentioning

confidence: 99%

Dynamic feathering: minimising blending artefacts in view-dependent rendering

Guillemaut

Kilner

Starck

et al. 2007

IET 4th European Conference on Visual Media Production (CVMP 2007)

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Keywords:Image-based rendering, view-dependent texture mapping, feathering, image blending, image compositing. AbstractConventional view-dependent texture mapping techniques produce composite images by blending subsets of input images, weighted according to their relative influence at the rendering viewpoint, over regions where the views overlap. Geometric or camera calibration errors often result in a loss of detail due to blurring or double exposure artefacts which tends to be exacerbated by the number of blending views considered. We propose a novel view-dependent rendering technique which optimises the blend region dynamically at rendering time, and reduces the adverse effects of camera calibration or geometric errors otherwise observed. The technique has been successfully integrated in a rendering pipeline which operates at interactive frame rates. Improvement over state-of-the-art view-dependent texture mapping techniques are illustrated on a synthetic scene as well as real imagery of a large scale outdoor scene where large camera calibration and geometric errors are present.

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“…Many methods have been proposed in the past few years to address this problem. Based on the geometric information used, these techniques can be classified into three categories [16]. Light Field [9] and Lumigraph [7] can be regarded as dense IBR approaches where no geometry information is needed.…”

Section: Introductionmentioning

confidence: 99%

Sparse IBR Using Range Space Rendering

Kong¹,

Tao²,

González-Baños³

2003

Procedings of the British Machine Vision Conference 2003

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In this paper, we propose a new solution to the sparse image-based rendering (IBR) problem. Given two images taken from different viewpoints, our algorithm can accurately generate images from new viewpoints in between the original two views. This paper contributes to the sparse IBR in the following aspects: (1) Direct range space matching and multiple depth maps rendering. (2) Good rendering can be achieved with incorrect depth values, especially those textureless regions.(3) An efficient coarse-to-fine strategy to accelerate rendering and avoid problems caused by repetitive patterns. (4) A weak scene consistency constraint to simultaneously refine the rendering results and detect the occlusions. The proposed algorithm has been implemented and tested on real images and promising experimental results are demonstrated in the paper.

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Review of image-based rendering techniques

Cited by 302 publications

References 40 publications

research on algorithm of image mosaic /

research on algorithm of image mosaic /

Dynamic feathering: minimising blending artefacts in view-dependent rendering

Sparse IBR Using Range Space Rendering

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