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Welcome to the public review site of papers appearing in MobiSys 2012. Here you can find the public review written by a PC member for each paper and the authors' rebuttal to it. You can comment on any of them or add your own opinion. Finally you can vote to "like" or "dislike" a paper by clicking the up or down arrows next to its title.

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[–]PuneetJain[S] 1 point2 points ago

sorry, this has been archived and can no longer be voted on

[–]nitya 1 point2 points ago

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Another paper with an interesting premise. I'm not sure that localization of distant landmarks is the 'killer app' for the capability -- rather, I love the concept of using computer vision techniques in conjunction with smartphone sensors, to create new context cues for mobile application developers. Another must-read paper.

[–]JacobSorber 0 points1 point ago

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Question: You use vision to correct the result from GPS. How do you know the vision results are more accurate than the GPS?

Answer: From my experience, our vision techniques either work very well, or not at all. The vision algorithms, when they work, seem to be very structurally accurate.

[–]JacobSorber 0 points1 point ago

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Question: How does this approach perform when there is occlusion? Does it work better for certain classes of objects? Just buildings? What if a car drives by?

Answer: This approach doesn't require every key point. We just need enough points. It comes to whether you can gather enough key points.

[–]JacobSorber 0 points1 point ago

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Question: What if the object is moving?

Answer: This won't work, not without significant changes to the algorithms.

[–]JacobSorber 0 points1 point ago

sorry, this has been archived and can no longer be voted on

Question: People are inherently lazy, and will want to take as few pictures as possible. Can you tell me when to stop taking pictures? Is this computationally tractable on the phone?

Answer: No, we can't do this all on the phone, at this point. Also, you need at least 4 photos. It depends how far the object is, and the angles of the photos. We were looking at objects that were 20-100m away.