When you move to an area in the distance, the 3D model determines the best panorama to show you for that location. How quickly the car’s three lasers reflect off surfaces tells us how far a building or object is, and enables us to construct 3D models. We then apply special image processing algorithms to lessen ‘seams’ and create smooth transitions. To avoid gaps in the 360 photos, adjacent cameras take slightly overlapping pictures, and then we ‘stitch’ the photos together into a single 360 degree image. This helps us reconstruct the car’s exact route, and even tilt and realign images as needed. The classic theories of retail location offer complementary perspectives, and later models include new variables, although they present methodological problems, these methodologies are static in time. To match each image to its geographic location on the map, we combine signals from sensors on the car that measure GPS, speed and direction. Finding the optimal location is a relevant strategic decision for retailers. We pay close attention to many factors, including the weather and the population density of various areas, to determine when and where we can collect the best possible imagery. Street View may only be used in television, film, or online video projects if its filmed directly in the context of an actor or subject using the product as-is. This opens a 360-degree set of images for an immersive experience. First off we need to actually drive around and photograph the locations to show in Street View. You use Google Street View on a desktop by dragging a small yellow character and dropping it onto any highlighted roads.
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