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The Visual Object Tracking challenge VOT2016 aims at comparing short-term single-object visual trackers that do not apply pre-learned models of object appearance. Results of 70 trackers are presented, with a large number of trackers being published at major computer vision conferences and journals in the recent years. The number of tested state-of-the-art(More)
Depth reconstruction such as stereo vision system or Kinect is widely used in robot applications. Recently, various researches which utilized projecting patterns are attempted to solve weakness of stereo vision system when the scene does not have enough texture. However, the research problem of pattern projecting method is difficult to evaluate performance(More)
Stereo vision systems have been researched for decades and constitute the traditional method for extracting three-dimensional (3D) real-time depth information from images using sensors. However, passive stereo vision systems show a significant error in processing untextured regions, which are frequent in indoor environments. Also, modifications for(More)
Summary form only given. Optimization problem is to find the best solution from all feasible solutions such as camera calibration[1], 3D reconstruction [2], visual odometry[3], human skeleton modeling. In order to find best solution, choosing an object function is very important. According to object function, the optimization problem could be distinguished(More)
Stereo matching is a traditional method used for obtaining three-dimensional depth information and has been studied for decades. However, it is still difficult to apply stereo matching algorithms to practical devices because of certain real-time issues and performance issues due to untextured regions, radial distortion, etc. Therefore, recent applications(More)
The setup of a planar Frequency Mixing Magnetic Detection (p-FMMD) scanner for performing Magnetic Particles Imaging (MPI) of flat samples is presented. It consists of two magnetic measurement heads on both sides of the sample mounted on the legs of a u-shaped support. The sample is locally exposed to a magnetic excitation field consisting of two distinct(More)
This paper introduces a performance evaluation method for algorithms that generates a depth map using an image from a stereo endoscopic camera for image processing of laparoscope operations. The depth image was created by using a space-time stereo method by illuminating various patterns on scenes consisting of models of the 3D-printed organ model and actual(More)
The speed of face detection influences overall performance of applications like face recognition and human-robot interaction (HRI). In some applications such as long distance HRI, face detection is carried out on high resolution image up to 800×600 or more, leading to an increase in detection time and, in turn, deteriorating the application(More)