Yongyi Gong

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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(More)
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.,(More)
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(More)
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(More)
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(More)
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(More)
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.(More)
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(More)