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In this paper we examine the causes of one of the major shortcomings of current natural feature registration approaches, failure to register when the camera's view approaches parallel to the marker. The methods used by current registration algorithms in the attempt to overcome this problem are reviewed, and a novel tracking based approach called the Optical-flow Perspective Invariant Registration...
This paper presents a key based generic model for digital image watermarking. The model aims at addressing an identified gap in the literature by providing a basis for assessing different watermarking requirements in various digital image applications. We start with a formulation of a basic watermarking system, and define system inputs and outputs. We then proceed to incorporate the use of keys in...
We address the problem of automated fingerprints-based person identification from poor-quality fingerprints. Our solution includes the definition of a region of interest centered over the fingerprint at a reference point. From this region of interest a feature vector is computed that is invariant to some geometrical transforms but also to point transforms of the gray levels in the region of interest...
This paper provides a novel and efficient approach to dense stereo matching. The first contribution is, rather than applying disparity distribution inside a segment as hard constraint to directly project the likelihood of corresponding candidates to each pixel individually, our method treat segmentation and corresponding disparity distribution as soft constraint, and further partition each segment...
One of the main challenges in high-throughput plant data acquisition is the robust and automated analysis of the data. This includes a high-resolution 3D plant model reconstruction and an automated 3D segmentation. In this paper we present our top-down partitioning pipeline used to automatically segment high-resolution plant meshes. The proposed method produces a smart partition of the initial mesh...
Measuring the similarity between articulated shapes is a fundamental yet challenging problem. This paper proposes a novel shape descriptor based on Width Distributions (WD), which is robust to articulations. We show that the width distributions are articulation insensitive yet descriptive to distinguish different shapes with varied part structures. With measurements on distributions only, the proposed...
This paper presents a method of capturing a document with a single camera based on the Hough transform with reduced angle domain. Document image capturing with a camera has some advantages over traditional flatbed scanners. A problem of capturing a document with a camera is to find a paper region in an image and find robust features to remove perspective distortions. If we have boundary information...
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