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Symmetry is an important property of objects and is exhibited in different forms e.g., bilateral, rotational, etc. This paper presents an algorithm for computing the bilateral symmetry of silhouettes of shallow objects under perspective distortion, exploiting the invariance of the cross ratio to projective transformations. The basic idea is to use the cross ratio to compute a number of midpoints of...
Automatic creation of 3D urban city maps could be an innovative way for providing geometric data for varieties of applications such as civilian emergency situations, natural disaster management, military situations, and urban planning. Reliable and consistent extraction of quantitative information from remotely sensed imagery is crucial to the success of any of the above applications. This paper describes...
In this paper we describe a computer vision-based 3D hand tracking system for a multimodal augmented reality (AR) interface. We have developed a 3D vision-based natural hand interaction method. This consists of four steps: (1) skin colour segmentation, (2) feature point finding, (3) hand direction calculation, and (4) simple collision detection based on a short finger ray for interaction between the...
Segmentation and extraction of face features from 2D images has been researched extensively in the past. Recent research shows that algorithms incorporating 3D information often perform better than purely 2D approaches in many areas of computer vision including face biometrics and recognition. Cheaper and readily available 3D data acquisition devices combined with improved 3D reconstruction algorithms...
In this paper, we propose a method to detect pedestrians using 3D optical flow sequence in dynamic environments captured by a stereo camera mounted on a mobile robot. First, 3D optical flow by combining range and intensity image sequences of a stereo camera is generated, and connected components in range image are segmented as objects by using range image. Second, flow vector variance among segmented...
People positioning and tracking in 3D indoor environments are challenging tasks due to background clutter and occlusions. Current works are focused on solving people occlusions in low-cluttered backgrounds, but fail in high-cluttered scenarios, specially when foreground objects occlude people. In this paper, a novel 3D people positioning and tracking system is presented, which shows itself robust...
3D reconstruction is an important technique in the domain of computer vision. The existing systems of 3D reconstruction are often built on specialized hardware such as structured light or laser scanner with high cost. And some systems require intricate calibration procedures using complex calibration objects. These are not practical to reconstruct the 3D model of an arbitrary scene. In this paper,...
In this talk the author will outline some of the recent work undertaken by the Oxford Brookes Vision Group, a common theme underlying much of the research is to cast vision problems in terms of combinatorial optimization which provides a rich a deep theory for understanding them, with many new and exciting results.
Brain image 3D reconstruction and segmentation is one important part of it, and plays a critical role in computer vision of brain, functional analysis in brain and clinical application. The paper illustrates some wide-prevailed 3D reconstruction method applied to brain image and a method of combining ray-casting with segmentation. We describe a method applied to one implementation of space-based segmentation,...
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