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We consider the problem of classifying a test sample given incomplete information. This problem arises naturally when data about a test sample is collected over time, or when costs must be incurred to compute the classification features. For example, in a distributed sensor network only a fraction of the sensors may have reported measurements at a certain(More)
Large-scale, ground-level urban imagery has recently developed as an important element of online mapping tools such as Google's Street View. Such imagery is extremely valuable in a number of potential applications, ranging from augmented reality to 3D modeling, and from urban planning to monitoring city infrastructure. While such imagery is already(More)
With powerful computer and mighty software, seasoned users could turn digital media into what they want. The detection of digital tampering has become a crucial problem. In most of the time, digital tampering is not perceptible by human: however, some traces of digital tampering may be left in the media during the process. Based on this idea, we present a(More)
We are interested in reconstructing real world locations as detailed 3D models, but to achieve this goal, we require a large quantity of photographic data. We designed a game to employ the efforts and digital cameras of everyday people to not only collect this data, but to do so in a fun and effective way. The result is PhotoCity, a game played outdoors(More)
In this paper, we propose an effective scheme to enhance the visual details at the minimal cost of user adjustments. The uprising importance of automatic tone reproduction comes from the increasing population of digital archive programs, which contains a large number of images/videos either old irreproducible, or poorly captured. We attempt to solve above(More)
We propose a novel sensing technique called proactive sensing. Proactive sensing continually repositions a camera-based sensor as a way to improve hand pose estimation. Our core contribution is a scheme that effectively learns how to move the sensor to improve pose estimation confidence while requiring no ground truth hand poses. We demonstrate this concept(More)
Games increasingly use input devices – such as Kinect, Leap, and Move – that map the location of the player's body into a virtual space. Designers are often faced with two options: an intuitive, direct mapping that is initially easier to learn but not suited for all tasks, or an advanced mapping that is better suited to carrying out tasks but harder to(More)