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Recovering object pose is of great importance to many higher level tasks such as robotic manipulation, scene understanding and augmented reality to name a few. Following the recent major breakthroughs in many computer vision tasks made by the deep learning, intensive research to experiment with it also in the task of recovering object pose is conducting. This paper aims to review the state-of-the-art...
Point matching problem seeks the optimal correspondences between two sets of points. However, the matching result often includes some mismatches that decrease the matching precision. In this paper, we propose a fast algorithm to reject mismatches using pair-wise similarity. The intuition of our algorithm is that the matches should be similar with their neighboring matches due to local consistency...
Development of a flexible low-cost robotic system to grasp various 3D workpieces is of practical important. Traditional approaches on 3D grasping usually need to compute the effective contact positions based on sufficient conditions, such as “force-closure” or “form-closure,” to prevent all the motions of the grasped objects. Compared with the previous work motivated by high-precision applications,...
Three-dimensional gait analysis (including kinematic analysis and dynamic analysis) for clinical diagnosis of pathological gait disorders can provide a reliable basis for development and efficacy evaluation of rehabilitation programs. Under certain circumstances of laboratories, it is usually more difficult to obtain the patient's real gait information by the traditional three-dimensional gait analysis...
This paper presents a model-based work-piece localization method with salient feature selection. Model-based localization is suitable for work-piece which is one kind of the typical 3D rigid objects with less texture. However, localization based on 3D model will cause high failure rate in heavily cluttered scenes. We propose a new model-based localization method, which is integrated with salient feature...
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