Abstract: A smartphone may be freely moved in three dimensions as it captures a stream of images of an object. Multiple image frames may be captured in different orientations and distances from the object and combined into a composite image representing an image of the object. The image frames may be formed into the composite image based on representing features of each image frame as a set of points in a three dimensional point cloud. Inconsistencies between the image frames may be adjusted when projecting respective points in the point cloud into the composite image. Quality of the image frames may be improved by processing the image frames to correct errors. Further, operating conditions may be selected, automatically or based on instructions provided to a user, to reduce motion blur. Techniques, including relocalization such that, allow for user-selected regions of the composite image to be changed.

Abstract: A smartphone may be freely moved in three dimensions as it captures a stream of images of an object. Multiple image frames may be captured in different orientations and distances from the object and combined into a composite image representing an three-dimensional image of the object. The image frames may be formed into the composite image based on representing features of each image frame as a set of points in a three dimensional depth map. Coordinates of the points in the depth map may be estimated with a level of certainty. The level of certainty may be used to determine which points are included in the composite image. The selected points may be smoothed and a mesh model may be formed by creating a convex hull of the selected points. The mesh model and associated texture information may be used to render a three-dimensional representation of the object on a two-dimensional display.

Abstract: A smartphone may be freely moved in three dimensions as it captures a stream of images of an object. Multiple image frames may be captured in different orientations and distances from the object and combined into a composite image representing an three-dimensional image of the object. The image frames may be formed into the composite image based on representing features of each image frame as a set of points in a three dimensional depth map. Coordinates of the points in the depth map may be estimated with a level of certainty. The level of certainty may be used to determine which points are included in the composite image. The selected points may be smoothed and a mesh model may be formed by creating a convex hull of the selected points. The mesh model and associated texture information may be used to render a three-dimensional representation of the object on a two-dimensional display.

Abstract: A smartphone may be freely moved in three dimensions as it captures a stream of images of an object. Multiple image frames may be captured in different orientations and distances from the object and combined into a composite image representing an image of the object. The image frames may be formed into the composite image based on representing features of each image frame as a set of points in a three dimensional point cloud. Inconsistencies between the image frames may be adjusted when projecting respective points in the point cloud into the composite image. Quality of the image frames may be improved by processing the image frames to correct errors. Reflections and shadows may be detected and removed. Further, optical character recognition may be applied. As the scan progresses, a direction for capturing subsequent image frames is provided to a user as a real-time feedback.

Abstract: A smartphone may be freely moved in three dimensions as it captures a stream of images of an object. Multiple image frames may be captured in different orientations and distances from the object and combined into a composite image representing an image of the object. The image frames may be formed into the composite image based on representing features of each image frame as a set of points in a three dimensional point cloud. Inconsistencies between the image frames may be adjusted when projecting respective points in the point cloud into the composite image. Quality of the image frames may be improved by processing the image frames to correct errors. Reflections and shadows may be detected and removed. Further, optical character recognition may be applied. As the scan progresses, a direction for capturing subsequent image frames is provided to a user as a real-time feedback.

Abstract: Forming a 3D representation of an object using a portable electronic device with a camera. A sequence of image frames, captured with the camera may be processed to generate 3D information about the object. This 3D information may be used to present a visual representation of the object as real-time feedback to a user, indicating confidence of 3D information for regions of the object. Feedback may be a composite image based on surfaces in a 3D model derived from the 3D information given visual characteristics derived from the image frames. The 3D information may be used in a number of ways, including as an input to a 3D printer or an input, representing, in whole or in part, an avatar for a game or other purposes. To enable processing to be performed on a portable device, a portion of the image frames may be selected for processing with higher resolution.

Abstract: A smartphone may be freely moved in three dimensions as it captures a stream of images of an object. Multiple image frames may be captured in different orientations and distances from the object and combined into a composite image representing an image of the object. The image frames may be formed into the composite image based on representing features of each image frame as a set of points in a three dimensional point cloud. Inconsistencies between the image frames may be adjusted when projecting respective points in the point cloud into the composite image. Quality of the image frames may be improved by processing the image frames to correct errors. Distracting features, such as the finger of a user holding the object being scanned, can be replaced with background content. As the scan progresses, a direction for capturing subsequent image frames is provided to a user as a real-time feedback.

Abstract: A method of forming a visual representation of an object from a plurality of image frames acquired using a portable electronic device, the method comprising the steps of determining at least one parameter of motion of the portable electronic device; determining at least one capture condition for at least one first image frame of the plurality of image frames; computing, based on the at least one parameter of motion and the at least one capture condition, an indication of blur in the image frame; based on the indication of blur, conditionally taking a corrective action.

Abstract: A smartphone may be freely moved in three dimensions as it captures a stream of images of an object. Multiple image frames may be captured in different orientations and distances from the object and combined into a composite image representing an image of the object. The image frames may be formed into the composite image based on representing features of each image frame as a set of points in a three dimensional point cloud. Inconsistencies between the image frames may be adjusted when projecting respective points in the point cloud into the composite image. Quality of the image frames may be improved by processing the image frames to correct errors. Distracting features, such as the finger of a user holding the object being scanned, can be replaced with background content. As the scan progresses, a direction for capturing subsequent image frames is provided to a user as a real-time feedback.

Abstract: A method of forming a visual representation of an object from a plurality of image frames acquired using a portable electronic device, the method comprising the steps of determining at least one parameter of motion of the portable electronic device; determining at least one capture condition for at least one first image frame of the plurality of image frames; computing, based on the at least one parameter of motion and the at least one capture condition, an indication of blur in the image frame; based on the indication of blur, conditionally taking a corrective action.

Abstract: A smartphone may be freely moved in three dimensions as it captures a stream of images of an object. Multiple image frames may be captured in different orientations and distances from the object and combined into a composite image representing an three-dimensional image of the object. The image frames may be formed into the composite image based on representing features of each image frame as a set of points in a three dimensional depth map. Coordinates of the points in the depth map may be estimated with a level of certainty. The level of certainty may be used to determine which points are included in the composite image. The selected points may be smoothed and a mesh model may be formed by creating a convex hull of the selected points. The mesh model and associated texture information may be used to render a three-dimensional representation of the object on a two-dimensional display.

Abstract: A smartphone may be freely moved in three dimensions as it captures a stream of images of an object. Multiple image frames may be captured in different orientations and distances from the object and combined into a composite image representing an image of the object. The image frames may be formed into the composite image based on representing features of each image frame as a set of points in a three dimensional point cloud. Inconsistencies between the image frames may be adjusted when projecting respective points in the point cloud into the composite image. Quality of the image frames may be improved by processing the image frames to correct errors. Reflections and shadows may be detected and removed. Further, optical character recognition may be applied. As the scan progresses, a direction for capturing subsequent image frames is provided to a user as a real-time feedback.

Abstract: A smartphone may be freely moved in three dimensions as it captures a stream of images of an object. Multiple image frames may be captured in different orientations and distances from the object and combined into a composite image representing an image of the object. The image frames may be formed into the composite image based on representing features of each image frame as a set of points in a three dimensional point cloud. Inconsistencies between the image frames may be adjusted when projecting respective points in the point cloud into the composite image. Quality of the image frames may be improved by processing the image frames to correct errors. Further, operating conditions may be selected, to automatically or based on instructions provided to a user, to reduce motion blur. Techniques, including relocalization such that, allow for user-selected regions of the composite image to be changed.

Abstract: A smartphone may be freely moved in three dimensions as it captures a stream of images of an object. Multiple image frames may be captured in different orientations and distances from the object and combined into a composite image representing an three-dimensional image of the object. The image frames may be formed into the composite image based on representing features of each image frame a set of points in a three dimensional depth map. Coordinates of the points in the depth map may be estimated with a level of certainty. The level of certainty may be used to determine which points are included in the composite image. The selected points may be smoothed and a mesh model may be formed by creating a convex hull of the selected points. The mesh model and associated texture information may be used to render a three-dimensional representation of the object on a two-dimensional display.

Abstract: A smartphone may be freely moved in three dimensions as it captures a stream of images of an object. Multiple image frames may be captured in different orientations and distances from the object and combined into a composite image representing an image of the object. The image frames may be formed into the composite image based on representing features of each image frame as a set of points in a three dimensional point cloud. Inconsistencies between the image frames may be adjusted when projecting respective points in the point cloud into the composite image. Quality of the image frames may be improved by processing the image frames to correct errors. Distracting features, such as the finger of a user holding the object being scanned, can be replaced with background content. As the scan progresses, a direction for capturing subsequent image frames is provided to a user as a real-time feedback.

Abstract: A smartphone may be freely moved in three dimensions as it captures a stream of images of an object. Multiple image frames may be captured in different orientations and distances from the object and combined into a composite image representing an image of the object. The image frames may be formed into the composite image based on representing features of each image frame as a set of points in a three dimensional point cloud. Inconsistencies between the image frames may be adjusted when projecting respective points in the point cloud into the composite image. Quality of the image frames may be improved by processing the image frames to correct errors. Reflections and shadows may be detected and removed. Further, optical character recognition may be applied. As the scan progresses, a direction for capturing subsequent image frames is provided to a user as a real-time feedback.

Abstract: A smartphone may be freely moved in three dimensions as it captures a stream of images of an object. Multiple image frames may be captured in different orientations and distances from the object and combined into a composite image representing an image of the object. The image frames may be formed into the composite image based on representing features of each image frame as a set of points in a three dimensional point cloud. Inconsistencies between the image frames may be adjusted when projecting respective points in the point cloud into the composite image. Quality of the image frames may be improved by processing the image frames to correct errors. Reflections and shadows may be detected and removed. Further, optical character recognition may be applied. As the scan progresses, a direction for capturing subsequent image frames is provided to a user as a real-time feedback.

Abstract: A smartphone may be freely moved in three dimensions as it captures a stream of images of an object. Multiple image frames may be captured in different orientations and distances from the object and combined into a composite image representing an image of the object. The image frames may be formed into the composite image based on representing features of each image frame as a set of points in a three dimensional point cloud. Inconsistencies between the image frames may be adjusted when projecting respective points in the point cloud into the composite image. Quality of the image frames may be improved by processing the image frames to correct errors. Distracting features, such as the finger of a user holding the object being scanned, can be replaced with background content. As the scan progresses, a direction for capturing subsequent image frames is provided to a user as a real-time feedback.

Abstract: A computer peripheral that may operate as a scanner. The scanner captures image frames as it is moved across an object. The image frames are formed into a composite image based on computations in two processes. In a first process, fast track processing determines a coarse position of each of the image frames based on a relative position between each successive image frame and a respective preceding image determine by matching overlapping portions of the image frames. In a second process, fine position adjustments are computed to reduce inconsistencies from determining positions of image frames based on relative positions to multiple prior image frames. The peripheral may also act as a mouse and may be configured with one or more navigation sensors that can be used to reduce processing time required to match a successive image frame to a preceding image frame.

Abstract: A smartphone may be freely moved in three dimensions as it captures a stream of images of an object. Multiple image frames may be captured in different orientations and distances from the object and combined into a composite image representing an image of the object. The image frames may be formed into the composite image based on representing features of each image frame as a set of points in a three dimensional point cloud. Inconsistencies between the image frames may be adjusted when projecting respective points in the point cloud into the composite image. Quality of the image frames may be improved by processing the image frames to correct errors. Reflections and shadows may be detected and removed. Further, optical character recognition may be applied. As the scan progresses, a direction for capturing subsequent image frames is provided to a user as a real-time feedback.