Google Streetview wird „randlos“ … #360°

Originally shared by Martin Holmes

Seamless Google Street View Panoramas

In 2007, we introduced Google Street View, enabling you to explore the world through panoramas of neighborhoods, landmarks, museums and more, right from your browser or mobile device. The creation of these panoramas is a complicated process, involving capturing images from a multi-camera rig called a rosette, and then using image blending techniques to carefully stitch them all together. However, many things can thwart the creation of a „successful“ panorama, such as mis-calibration of the rosette camera geometry, timing differences between adjacent cameras, and parallax. And while we attempt to address these issues by using approximate scene geometry to account for parallax and frequent camera re-calibration, visible seams in image overlap regions can still occur

In order to provide more seamless Street View images, we’ve developed a new algorithm based on optical flow to help solve these challenges. The idea is to subtly warp each input image such that the image content lines up within regions of overlap. This needs to be done carefully to avoid introducing new types of visual artifacts. The approach must also be robust to varying scene geometry, lighting conditions, calibration quality, and many other conditions. To simplify the task of aligning the images and to satisfy computational requirements, we’ve broken it into two steps.

#GoogleStreetView #LifeIn360° #Panoramas

https://www.youtube.com/watch?v=iL67eGBS3Ic&feature=share//cdn.embedly.com/widgets/platform.js