New View Generation with a Bi-centric Camera

Weinshall, Daphna; Lee, Mi-Suen; Brodsky, T.; Trajković, Miroslav; Feldman, Doron

doi:10.1007/3-540-47969-4_41

Cited by 12 publications

(14 citation statements)

References 5 publications

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“…These projection equations are identical to the model analyzed in [23], where it was called bicentric projection.…”

Section: Special Case: the Pox-slits Projectionmentioning

confidence: 89%

“…The idea of using linear nonstationary mosaicing for IBR and the generation of a virtual walkthrough was originally reported in [23]. But, while the bicentric camera model analyzed in [23] is mathematically equivalent to the POX-Slits model analyzed below, the general X-Slits model and the realization with two slits are new.…”

Section: Relation To Previous Workmentioning

confidence: 99%

“…But, while the bicentric camera model analyzed in [23] is mathematically equivalent to the POX-Slits model analyzed below, the general X-Slits model and the realization with two slits are new. This realization allows for a wider range of applications, as discussed in Section 5.…”

Section: Relation To Previous Workmentioning

confidence: 99%

“…There are four degrees of freedom (up to scale) in choosing a pair ðtÞ; sðtÞ h i of sampling functions which satisfy constraint (23). Each pair of sampling functions of the form (22) for which (23) holds implies that all ðtÞ intersect in a single line (the virtual slit). And vice versa, it can also be shown that every family of planes ðtÞ which intersect in a single line uniquely defines such a pair of sampling functions.…”

Section: A2 Input Camera Moving On a General Straight Linementioning

confidence: 99%

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Mosaicing new views: the crossed-slits projection

Zomet

Feldman

Peleg

et al. 2003

IEEE Trans. Pattern Anal. Machine Intell.

147

144

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Abstract-We introduce a new kind of mosaicing, where the position of the sampling strip varies as a function of the input camera location. The new images that are generated this way correspond to a new projection model defined by two slits, termed here the Crossed-Slits (X-Slits) projection. In this projection model, every 3D point is projected by a ray defined as the line that passes through that point and intersects the two slits. The intersection of the projection rays with the imaging surface defines the image. X-Slits mosaicing provides two benefits. First, the generated mosaics are closer to perspective images than traditional pushbroom mosaics. Second, by simple manipulations of the strip sampling function, we can change the location of one of the virtual slits, providing a virtual walkthrough of a X-slits camera; all this can be done without recovering any 3D geometry and without calibration. A number of examples where we translate the virtual camera and change its orientation are given; the examples demonstrate realistic changes in parallax, reflections, and occlusions.

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“…These projection equations are identical to the model analyzed in [23], where it was called bicentric projection.…”

Section: Special Case: the Pox-slits Projectionmentioning

confidence: 89%

Section: Relation To Previous Workmentioning

confidence: 99%

Section: Relation To Previous Workmentioning

confidence: 99%

Section: A2 Input Camera Moving On a General Straight Linementioning

confidence: 99%

See 2 more Smart Citations

Mosaicing new views: the crossed-slits projection

Zomet

Feldman

Peleg

et al. 2003

IEEE Trans. Pattern Anal. Machine Intell.

147

144

View full text Add to dashboard Cite

show abstract

“…2 (a). Cameras are arranged on the horizontal plane defined by the X w and Z w axes in concentric mosaics [5], bi-centric camera [6,7] and cross-slits projection [8,9,10]; this enables us to use a 3D function P (x, z, φ).…”

Section: Introductionmentioning

confidence: 99%

Image-Based Rendering by Virtual 1D Cameras

Ichimura

2009

Advances in Image and Video Technology

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Abstract. Image-based rendering (IBR) has been used to synthesize images corresponding to a new view point from stored images. Rendering methods based on a three-dimensional plenoptic function are attractive due to the simplicity of image capture. Only a few specific discussions, however, have been done for the scaling problem to correct aspect ratio distortion, which heavily affects the quality of a synthesized image. This paper presents a rendering algorithm with a scaling scheme, which is general in that it can handle arbitrary camera paths. We model a virtual camera by a set of one-dimensional (1D) cameras. The ray representation of the 1D camera enables us to devise a rendering algorithm for the cases where the camera paths to create ray databases are arbitrary curves. We conclude with experimental results that demonstrate the usefulness of the proposed algorithm.

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A Calibration Algorithm for POX-Slits Camera

Martins

Araújo

2005

Pattern Recognition and Image Analysis

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New View Generation with a Bi-centric Camera

Cited by 12 publications

References 5 publications

Mosaicing new views: the crossed-slits projection

Mosaicing new views: the crossed-slits projection

Image-Based Rendering by Virtual 1D Cameras

A Calibration Algorithm for POX-Slits Camera

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