Four short links: 24 April 2014

Image Depth, Stress and Burnout, Tribal Software, and Face Recognition

  1. Depthy — new Google Camera app lets you capture some depth information, stored in metadata in the image. Nifty effects become possible.
  2. Coping with Stress and Burnout: Explanatory Power of Different Coping Strategies (PLoSone)– interesting taxonomy of burnout (overload, lack of development, and neglect) found by clustering responses to surveys, which also showed key signs. (via Psychological Science)
  3. Why is StackOverflow So Negative of Late? — my current theory is that social activities (sites, events, etc.) are journeys for cohorts. Newcomers don’t get as much from it, and the original cohort don’t enjoy newcomers. Social sites tend to rock at first until They arrive and ruin it for all. cf Burning Man. Newcomers will have to start their own site/event, but if they never get critical mass of the A-grade people who joined the first wave, their own event may fail.
  4. Surpassing Human-Level Face Verification Performance on LFW with GaussianFace (arXiv) — For the first time, the human-level performance in face verification (97.53%) on LFW [the standard “hard” face recognition data set] is surpassed. (via Medium)
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