Scott Wehrwein
نویسنده
چکیده
The tools for capturing and sharing photos and videos have exploded to the point of ubiquity. Internet photo collections of popular landmarks now contain over a decade’s worth of photographs; thousands of timelapse scenes are available on video sharing websites; live cameras stream real-time videos of many scenes 24 hours a day; high-resolution images of an entire face of the earth are available at 10-minute intervals from state-of-the-art weather satellites. These data sources contain a stunning amount of information, but extracting it remains challenging.
منابع مشابه
WEHRWEIN AND SZELISKI: VIDEO SEGMENTATION WITH BACKGROUND MODELS 1 Video Segmentation with Background Motion Models
Many of today’s most successful video segmentation methods use long-term feature trajectories as their first processing step. Such methods typically use spectral clustering to segment these trajectories, implicitly assuming that motion is translational in image space. In this paper, we explore the idea of explicitly fitting more general motion models in order to classify trajectories as foregro...
متن کاملWEHRWEIN AND SZELISKI: SUPPLEMENTAL MATERIAL: BACKGROUND MOTION MODELS1 Supplemental Material for Video Segmentation with Background Motion Models
Algorithm 1 gives the procedure used to optimize the background motion model as described in Section 4. GetWeights computes the residuals from the given model Hk and uses Equation 3 to compute the weight for each track in T . Similarly, GetCost computes the total cost (Equation 4). Finally, WLS uses a weighted-least-squares variant of the four-point algorithm to re-estimate each homography Hk i...
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