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The rapid increase in the aging population prompts the development of wearable devices and sophisticated robots. With their ability to collect complex information about their surroundings via e-skins, robots could perform more dynamic and variable tasks such as rescue missions or caring for the elderly. In this paper, we present a new concept of utilizing a very simple, highly flexible and stretchable...
Point sets registration, also known as point matching, is to find the one-to-one correspondence between two point sets as well as the related transformation. In comparison with most state-of-the-arts handling the rigid transformation between two point sets, in this paper, we focus on the more complex non-rigid transformation by considering it as a linear assignment-least square problem. We design...
Automatic endoscope video analysis is an essential function for medical robot and computer-aided diagnosis system. However, the performance of these video analysis algorithms are often degraded by low quality endoscope images under the uncontrolled environment, where some of them are difficult even for human ourselves for analysis, such as over-saturated by reflection, too dark or obscure. In this...
To achieve denser 3D ear model from less controlled 2D image, we explore a 3D Ear Morphable Model (3DEMM) for 3D ear reconstruction using a single 2D ear image. Considering the unique structure of ear, we propose a novel dense corresponding method. The proposed method can overcome the shortcoming of optical flow based method and achieve pixel level dense correspondences based on physiological features...
Tongue diagnosis is an important foundation of the syndrome difference. The segmentation of the body of tongue is a premise to establishing a system of automatic diagnosis by the feature of tongue in Traditional Chinese Medicine (TCM), whose qualities affect on the performance of tongue diagnosis. Because of similar color between tongue body and background, it is difficult to segment tongue. In order...
A novel ear recognition approach is proposed in this paper, which use the SIFT descriptor with global context and the projective invariants to obtain ear features. At first, as the ear images have multiple similar local regions, the SIFT descriptor with global context is used for computing the matching points. This kind of descriptor can discriminate the keypoints with similar local appearances effectively...
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