KEYWORDS: Cameras, 3D acquisition, Imaging systems, Iris, Camera shutters, Signal to noise ratio, Projection systems, Reflection, Image analysis, Structured light
In this paper we propose a method of optimal camera exposure estimation in the image for a structured light system. In
structured light system, it is important to discriminate the patterns form the captured images which are illuminated by the
projector. But every object in real environments has a different reflection due to object's material and surface's color
property, so the precise discrimination of the projected pattern from the image in indoor environments is a hard problem
where many objects are located together especially. And the camera exposure setting is not good. For better 3D range
data, we estimate the optimal exposure at pixels so that makes the illuminated light by the projector can be captured
properly by the camera. In order to obtain the optimal exposures about specific environments in structured light system,
we should know how much intensity and/or brightness varies while the exposure is changed. So we introduce the novel
method to estimate intensity by characteristic curves. This proposed method overcomes the conventional method's
exposure problem and presents what is the optimal exposure at pixels is and how to obtain this setting. This has been
proved to be feasible in many applications which need to measure the objects with different surface properties.
Access to the requested content is limited to institutions that have purchased or subscribe to SPIE eBooks.
You are receiving this notice because your organization may not have SPIE eBooks access.*
*Shibboleth/Open Athens users─please
sign in
to access your institution's subscriptions.
To obtain this item, you may purchase the complete book in print or electronic format on
SPIE.org.
INSTITUTIONAL Select your institution to access the SPIE Digital Library.
PERSONAL Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.