Abstract: By measuring a position of a spray gun relative to a physical surface to coat, using data on technical characteristics of the spray gun, like a spray cone the spray gun may produce and data on a coating fluid used, characteristics of a coating layer thus physically deposited may be reconstructed. With data being recording during the spray job, this is faster and more accurate than measuring layer thickness at various locations, either pre-determined or randomly. By determining flow characteristics in a spray cone and position of the spray cone relative to the surface over time and using a model of the spray cone, deposition of the layer of coating may be determined and the final layer, cured or uncured, may be reconstructed, including thickness.

Abstract: Described herein is a method for correcting defective depth values in depth map images. Defective values correspond to “noisy pixels” located on continuous flat surfaces and interpolated “flying pixels” located along an edge between a foreground object and a background object. The method comprising the steps of accessing a depth map of a scene which includes the foreground and background objects, detecting and identifying noisy and interpolated depth measurements within the depth map using a method, defining and applying a correction to each of the detected defective noisy and interpolated depth measurements using a specifically defined weighted correction factor. By providing the corrected defective depth values in depth map images, edges are sharpened in depth and continuous surfaces are flattened, enabling higher efficiency and robustness of further image processing.

Abstract: Described herein is a method for correcting defective depth values in depth map images. Defective values correspond to “noisy pixels” located on continuous flat surfaces and interpolated “flying pixels” located along an edge between a foreground object and a background object. The method comprising the steps of accessing a depth map of a scene which includes the foreground and background objects, detecting and identifying noisy and interpolated depth measurements within the depth map using a method, defining and applying a correction to each of the detected defective noisy and interpolated depth measurements using a specifically defined weighted correction factor. By providing the corrected defective depth values in depth map images, edges are sharpened in depth and continuous surfaces are flattened, enabling higher efficiency and robustness of further image processing.