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Proceedings ArticleDOI

Virtual bellows: constructing high quality stills from video

TLDR
This work shows how the virtual bellows, which implements the projective group, is an exact model fit to both pan and tilt, and identifies two important classes of image sequences accommodated by thevirtual bellows.
Abstract
Cameras with bellows give photographers flexibility for controlling perspective, but once the picture is taken, its perspective is set. We introduce 'virtual bellows' to provide control over perspective after a picture has been taken. Virtual bellows can be used to align images taken from different viewpoints, an important initial step in applications such as creating a high-resolution still image from video. We show how the virtual bellows, which implements the projective group, is an exact model fit to both pan and tilt. Specifically, we identify two important classes of image sequences accommodated by the virtual bellows. Examples of constructing high-quality stills are shown for the two cases: multiple frames taken of a flat object, and multiple frames taken from a fixed point. >

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Citations
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Journal ArticleDOI

Super-resolution image reconstruction: a technical overview

TL;DR: The goal of this article is to introduce the concept of SR algorithms to readers who are unfamiliar with this area and to provide a review for experts to present the technical review of various existing SR methodologies which are often employed.
Proceedings ArticleDOI

Plenoptic modeling: an image-based rendering system

TL;DR: An image-based rendering system based on sampling, reconstructing, and resampling the plenoptic function is presented and a novel visible surface algorithm and a geometric invariant for cylindrical projections that is equivalent to the epipolar constraint defined for planar projections are introduced.
Proceedings ArticleDOI

QuickTime VR: an image-based approach to virtual environment navigation

TL;DR: This paper presents a new approach which uses 360-degree cylindrical panoramic images to compose a virtual environment which includes viewing of an object from different directions and hit-testing through orientation-independent hot spots.
Journal ArticleDOI

Limits on super-resolution and how to break them

TL;DR: This work derives a sequence of analytical results which show that the reconstruction constraints provide less and less useful information as the magnification factor increases, and proposes a super-resolution algorithm which attempts to recognize local features in the low-resolution images and then enhances their resolution in an appropriate manner.
Proceedings ArticleDOI

Limits on super-resolution and how to break them

TL;DR: An algorithm is proposed that learns recognition-based priors for specific classes of scenes, the use of which gives far better super-resolution results for both faces and text.
References
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Journal ArticleDOI

Determining optical flow

TL;DR: In this paper, a method for finding the optical flow pattern is presented which assumes that the apparent velocity of the brightness pattern varies smoothly almost everywhere in the image, and an iterative implementation is shown which successfully computes the Optical Flow for a number of synthetic image sequences.
Proceedings ArticleDOI

Determining Optical Flow

TL;DR: In this article, a method for finding the optical flow pattern is presented which assumes that the apparent velocity of the brightness pattern varies smoothly almost everywhere in the image, and an iterative implementation is shown which successfully computes the Optical Flow for a number of synthetic image sequences.
Journal ArticleDOI

Improving resolution by image registration

TL;DR: In this paper, the relative displacements in image sequences are known accurately, and some knowledge of the imaging process is available, and the proposed approach is similar to back-projection used in tomography.
Journal ArticleDOI

Estimating three-dimensional motion parameters of a rigid planar patch

Abstract: We present a new direct method of estimating the three-dimensional motion parameters of a rigid planar patch from two time-sequential perspective views (image frames). First, a set of eight pure parameters are defined. These parameters can be determined uniquely from the two given image frames by solving a set of linear equations. Then, the actual motion parameters are determined from these pure parameters by a method which requires the solution of a sixth-order polynomial of one variable only, and there exists a certain efficient algorithm for solving a sixth-order polynomial. Aside from a scale factor for the translation parameters, the number of real solutions never exceeds two. In the special case of three-dimensional translation, the motion parameters can be expressed directly as some simple functions of the eight pure parameters. Thus, only a few arithmetic operations are needed.
Proceedings ArticleDOI

High-resolution image reconstruction from lower-resolution image sequences and space-varying image restoration

TL;DR: A new two-step procedure is proposed, and it is shown that the POCS formulation presented for the high-resolution image reconstruction problem can also be used as a new method for the restoration of spatially invariant blurred images.
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