Image-based photo hulls

Slabaugh, Greg; Schafer, Ronald W.; Hans, Mat

doi:10.1109/tdpvt.2002.1024145

Cited by 29 publications

(10 citation statements)

References 16 publications

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“…In the two-step approaches, scene analysis and scene synthesis are conducted in two separate passes [18,21,24,25,16,3,29,4], whereas the one-step approaches combine the two in a single rendering pass [14,23,26,12,11,28]. Generally, one-step approaches can save some computations since they only need to analyze the portion of the scene that is visible to the user.…”

Section: Related Work In Dynamic Ibrmentioning

confidence: 99%

“…In image-based visual hull [14,12], an object is modeled from its silhouette. As an extension, the image-based photo hull [23,11] models an object through color matching, and can therefore produce an implicit model that is closer to the true geometry.…”

Section: Related Work In Dynamic Ibrmentioning

confidence: 99%

“…Some are designed for rendering a single dynamic object in the scene and hence have difficulties in handling scenes with multiple moving objects and/or changing backgrounds [18,14,12,23,11]. Some require accurate depth information estimated using offline process and therefore can only be used for pre-recorded scenes [3,29,4].…”

Section: Introductionmentioning

confidence: 99%

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Real-time backward disparity-based rendering for dynamic scenes using programmable graphics hardware

Gong

Selzer

Cheng

et al. 2007

Proceedings of Graphics Interface 2007 on - GI '07

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a) one of the 16 source images (b) result of color interpolation (c) result of forward warping (d) result of our approach Figure 1: Novel views synthesized using different approaches.Since the scene is sparsely sampled using 16 images, the color interpolation-based approach only keeps part of the scene (background wall) in focus and the rest is blurry. With additional estimated disparity information, the forward warping-based approach gives shaper result, but artifacts show up due to errors in the disparity maps. Using the same set of disparity maps, our approach yields better result.ABSTRACT This paper presents a backward disparity-based rendering algorithm, which runs at real-time speed on programmable graphics hardware. The algorithm requires only a handful of image samples of the scene and estimated noisy disparity maps, whereas most existing techniques need either dense samples or accurate depth information. To color a given pixel in the novel view, a backward searching process is conducted to find the corresponding pixels from the closest four reference images. The use of backward searching process makes the algorithm more robust to errors in estimated disparity maps than existing forward warping-based approaches. In addition, since the computations for different pixels are independent, they can be performed in parallel on the Graphics Processing Units of modern graphics hardware. Experiment results demonstrate that our algorithm can synthesize accurate novel views for dynamic real scenes at a high frame rate.

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Section: Related Work In Dynamic Ibrmentioning

confidence: 99%

Section: Related Work In Dynamic Ibrmentioning

confidence: 99%

See 1 more Smart Citation

Real-time backward disparity-based rendering for dynamic scenes using programmable graphics hardware

Gong

Selzer

Cheng

et al. 2007

Proceedings of Graphics Interface 2007 on - GI '07

View full text Add to dashboard Cite

show abstract

“…We describe the details of our approach in Section 4, and then present experimental results in Section 5 and evaluation in Section 6. Note that this paper is an expanded version of a symposium paper [9].…”

Section: Introductionmentioning

confidence: 99%