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Background High resolution images of Drosophila embryos in their developmental stages contain rich spatial and temporal information of gene expression. Automatic extraction of the contour of an embryo of interest in an embryonic image is a critical step of a computational system used to discover gene-gene interaction on Drosophila. Results We propose a geometric method for contour extraction of...
A critical task in corner detection in 2D images is on the distinction between a corner pixel and a pixel with a large gradient (i.e., an edge pixel). Imbalanced point detection was proposed to address this problem, where a corner pixel is characterized as a pixel with an imbalanced appearance, while an edge pixel has the opposite property. With extensive experiments, an imbalanced point detector...
Sparse representation has been exploited for visual object tracking to yield impressive performance in recent years. However, sparse models in tracking are commonly limited by two intrinsic challenges, i.e., the high computational cost that makes it impractical in real-world applications and few reliable target observations available in dictionary initialization that renders it hard to handle great...
Exhaustive scanning is a popular scheme for the detection of visual objects in images. In this paper, we propose a polyline-driven detection scheme with an application to stop sign detection. Given an input image, we first extract basic polylines, including line segments and 2-piece polylines, from its edge image. Line segments are then used to generate a set of hypothesis boxes, i.e., a space of...
Drosophila embryonic images provide valuable spatial and temporal information of gene expression. Extraction of the contour of a targeting embryo in an embryonic image is a fundamental step of a computational system for the study of gene-gene interaction on Drosophila. In this paper, we propose a shape model for contour extraction of Drosophila embryos. The shape model is built on connected components...
Background subtraction is a fundamental and critical component in many high-level video processing applications. It remains a challenging task in complex scenes due to difficult factors such as illumination variations, cast shadows and dynamic backgrounds. In this work, we propose a novel background subtraction method for coping with RGBD videos. Our method is built upon a recent random sampling-based...
Imbalance oriented candidate selection was introduced as an alternative of non-maximum suppression, aiming to improve the localization accuracy. To distinguish interest points detected via non-maximum suppression, we call interest points detected via imbalance oriented selection imbalanced points. Scale assignment for imbalanced points is not straightforward because of a dilemma of involving non-maximum...
In this paper, we propose a geometric framework for stop sign detection based on polylines. We first propose a scheme for the extraction of 1-piece and 2-piece polylines from connected components of edge pixels. This scheme contains three basic steps: i) dominant point extraction, ii) linearity verification, and iii) partitioning. We then propose a polyline-based framework for stop sign detection...
Content-aware image scaling methods have received great attentions in the past 10 years. Most of them are proposed only for monocular 2D images. With the development of 3D display techniques, it is very desirable to extend these methods on stereoscopic images. The existing stereo methods fail in preserving objects with straight lines. In this paper, we introduce straight line preservation in the content-aware...
Concave region partitioning is valuable for object modeling and recognition. A key issue to the design of an efficient partitioning method is on the selection of cut points. In this paper, we propose to use imbalanced points in a region to characterize cut points in the contour of the region, motivated by the good corner nature of imbalanced points. Specifically, we formulate a concave region as a...
Connected components of edge pixels are valuable for many applications, e.g., Image segmentation, contour extraction, and text detection. However, a connected component of edge pixels may not form a simple curve due to the existence of bifurcation pixels, and thus limits its application in shape modeling. In this paper, we propose an approach to remove bifurcation pixels in an edge image, which let...
Images consist of different low-level features, such as Points of Interest (POIs) and Regions of Interest (ROIs). A distinction between POIs and ROIs is that the latter ones have intrinsic scale information while the former ones may not have. In this paper, we propose a scheme to integrate these two kinds of image features. The proposed scheme optimizes feature distribution so that the optimized features...
Automatic localization of gene expression regions in Drosophila embryonic images is an important step in a computational system for the discovery of patterns of gene-gene interaction. In this paper, we propose a thresholding framework that selects an optimal threshold via a consistency criterion on good candidate thresholds provided by multiple response functions, including intensity histograms. In...
Rectangular shape detection has a wide range of applications, such as license plate detection, vehicle detection and building detection. In this paper, we propose a robust framework for rectangular shape detection based on the channel-scale space of RGB images. The framework consists of algorithms developed to address two issues of a shape attention (i.e., a connected component of edge points), including:...
In this paper, an interesting regions resizing method based on div-curl model is proposed, in which the image dimension is intact. Specifically, the Div-curl mesh model is induced to deform the mesh just by controlling curl and Jacobian determinant and can avoid the mesh folding problem. In order to alleviate mesh bending, the curl constraint equation is set to zero. A scheme defining the Jacobian...
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