Abstract: Various embodiments of the present invention relate generally to systems and methods for analyzing and manipulating images and video. In particular, a multi-view interactive digital media representation can be generated from live images captured from a camera. The live images can include an object. An angular view of the object captured in the live images can be estimated using sensor data from an inertial measurement unit. The determined angular views can be used to select from among the live images. The multi-view interactive digital media representation can include a plurality of images where each of the plurality of images includes the object from a different camera view. When the plurality of images is output to a display, the object can appear to undergo a 3-D rotation through the determined angular view where the 3-D rotation of the object is generated without a 3-D polygon model of the object.

Abstract: Various embodiments of the present invention relate generally to systems and methods for analyzing and manipulating images and video. In particular, a multi-view interactive digital media representation can be generated from live images captured from a camera. The live images can include an object. An angular view of the object captured in the live images can be estimated using sensor data from an inertial measurement unit. The determined angular views can be used to select from among the live images. The multi-view interactive digital media representation can include a plurality of images where each of the plurality of images includes the object from a different camera view. When the plurality of images is output to a display, the object can appear to undergo a 3-D rotation through the determined angular view where the 3-D rotation of the object is generated without a 3-D polygon model of the object.

Abstract: Various embodiments of the present invention relate generally to systems and methods for analyzing and manipulating images and video. In particular, a multi-view interactive digital media representation can be generated from live images captured from a camera. The live images can include an object. An angular view of the object captured in the live images can be estimated using sensor data from an inertial measurement unit. The determined angular views can be used to select from among the live images. The multi-view interactive digital media representation can include a plurality of images where each of the plurality of images includes the object from a different camera view. When the plurality of images is output to a display, the object can appear to undergo a 3-D rotation through the determined angular view where the 3-D rotation of the object is generated without a 3-D polygon model of the object.

Abstract: A multi-view interactive digital media representation (MVIDMR) of an object can be generated from live images of an object captured from a camera. Selectable tags can be placed at locations on the object in the MVIDMR. When the selectable tags are selected, media content can be output which shows details of the object at location where the selectable tag is placed. A machine learning algorithm can be used to automatically recognize landmarks on the object in the frames of the MVIDMR and a structure from motion calculation can be used to determine 3-D positions associated with the landmarks. A 3-D skeleton associated with the object can be assembled from the 3-D positions and projected into the frames associated with the MVIDMR. The 3-D skeleton can be used to determine the selectable tag locations in the frames of the MVIDMR of the object.

Abstract: A multi-view interactive digital media representation (MVIDMR) of an object can be generated from live images of an object captured from a camera. Selectable tags can be placed at locations on the object in the MVIDMR. When the selectable tags are selected, media content can be output which shows details of the object at location where the selectable tag is placed. A machine learning algorithm can be used to automatically recognize landmarks on the object in the frames of the MVIDMR and a structure from motion calculation can be used to determine 3-D positions associated with the landmarks. A 3-D skeleton associated with the object can be assembled from the 3-D positions and projected into the frames associated with the MVIDMR. The 3-D skeleton can be used to determine the selectable tag locations in the frames of the MVIDMR of the object.

Abstract: Various embodiments of the present invention relate generally to systems and methods for analyzing and manipulating images and video. In particular, a multi-view interactive digital media representation can be generated from live images captured from a camera. The live images can include an object. An angular view of the object captured in the live images can be estimated using sensor data from an inertial measurement unit. The determined angular views can be used to select from among the live images. The multi-view interactive digital media representation can include a plurality of images where each of the plurality of images includes the object from a different camera view. When the plurality of images is output to a display, the object can appear to undergo a 3-D rotation through the determined angular view where the 3-D rotation of the object is generated without a 3-D polygon model of the object.

Abstract: A multi-view interactive digital media representation (MVIDMR) of an object can be generated from live images of an object captured from a camera. Selectable tags can be placed at locations on the object in the MVIDMR. When the selectable tags are selected, media content can be output which shows details of the object at location where the selectable tag is placed. A machine learning algorithm can be used to automatically recognize landmarks on the object in the frames of the MVIDMR and a structure from motion calculation can be used to determine 3-D positions associated with the landmarks. A 3-D skeleton associated with the object can be assembled from the 3-D positions and projected into the frames associated with the MVIDMR. The 3-D skeleton can be used to determine the selectable tag locations in the frames of the MVIDMR of the object.

Abstract: A multi-view interactive digital media representation (MVIDMR) of an object can be generated from live images of an object captured from a camera. Selectable tags can be placed at locations on the object in the MVIDMR. When the selectable tags are selected, media content can be output which shows details of the object at location where the selectable tag is placed. A machine learning algorithm can be used to automatically recognize landmarks on the object in the frames of the MVIDMR and a structure from motion calculation can be used to determine 3-D positions associated with the landmarks. A 3-D skeleton associated with the object can be assembled from the 3-D positions and projected into the frames associated with the MVIDMR. The 3-D skeleton can be used to determine the selectable tag locations in the frames of the MVIDMR of the object.

Abstract: Various embodiments of the present invention relate generally to systems and methods for analyzing and manipulating images and video. In particular, a multi-view interactive digital media representation (MVIDMR) of a person can be generated from live images of a person captured from a hand-held camera. Using the image data from the live images, a skeleton of the person and a boundary between the person and a background can be determined from different viewing angles and across multiple images. Using the skeleton and the boundary data, effects can be added to the person, such as wings. The effects can change from image to image to account for the different viewing angles of the person captured in each image.

Abstract: Various embodiments of the present invention relate generally to systems and methods for analyzing and manipulating images and video. In particular, a multi-view interactive digital media representation (MVIDMR) of object can be generated from live images of the object captured from a hand-held camera. Methods are described where image data associated with the images capture from the hand-held camera are manipulated to generate a more desirable MVIDMR of the object. In particular, the image data can be manipulated so that it appears as if the camera traveled a smoother trajectory during the capture of the images which can provide a smoother output of the MVIDMR. In embodiment, key point matching within the image data and, optionally, IMU data from a sensor package on the camera can be used to generate constraints used in a factor graph optimization that is used to generate a smoother trajectory of the camera.

Abstract: A multi-view interactive digital media representation (MVIDMR) of an object can be generated from live images of an object captured from a camera. Selectable tags can be placed at locations on the object in the MVIDMR. When the selectable tags are selected, media content can be output which shows details of the object at location where the selectable tag is placed. A machine learning algorithm can be used to automatically recognize landmarks on the object in the frames of the MVIDMR and a structure from motion calculation can be used to determine 3-D positions associated with the landmarks. A 3-D skeleton associated with the object can be assembled from the 3-D positions and projected into the frames associated with the MVIDMR. The 3-D skeleton can be used to determine the selectable tag locations in the frames of the MVIDMR of the object.

Abstract: Various embodiments of the present invention relate generally to systems and methods for analyzing and manipulating images and video. In particular, a multi-view interactive digital media representation can be generated from live images captured from a camera. The live images can include an object. An angular view of the object captured in the live images can be estimated using sensor data from an inertial measurement unit. The multi-view interactive digital media representation can include a plurality of images where each of the plurality of images includes the object from a different camera view. When the plurality of images is output to a display, the object can appear to undergo a 3-D rotation through the determined angular view where the 3-D rotation of the object is generated without a 3-D polygon model of the object.

Abstract: A multi-view interactive digital media representation (MVIDMR) of an object can be generated from live images of an object captured from a camera. Selectable tags can be placed at locations on the object in the MVIDMR. When the selectable tags are selected, media content can be output which shows details of the object at location where the selectable tag is placed. A machine learning algorithm can be used to automatically recognize landmarks on the object in the frames of the MVIDMR and a structure from motion calculation can be used to determine 3-D positions associated with the landmarks. A 3-D skeleton associated with the object can be assembled from the 3-D positions and projected into the frames associated with the MVIDMR. The 3-D skeleton can be used to determine the selectable tag locations in the frames of the MVIDMR of the object.

Abstract: Various embodiments of the present invention relate generally to systems and methods for analyzing and manipulating images and video. In particular, a multi-view interactive digital media representation can be generated from live images captured from a camera. The live images can include an object. An angular view of the object captured in the live images can be estimated using sensor data from an inertial measurement unit. The multi-view interactive digital media representation can include a plurality of images where each of the plurality of images includes the object from a different camera view. When the plurality of images is output to a display, the object can appear to undergo a 3-D rotation through the determined angular view where the 3-D rotation of the object is generated without a 3-D polygon model of the object.

Abstract: Various embodiments of the present invention relate generally to systems and methods for analyzing and manipulating images and video. In particular, a multi-view interactive digital media representation (MVIDMR) of a person can be generated from live images of a person captured from a hand-held camera. Using the image data from the live images, a skeleton of the person and a boundary between the person and a background can be determined from different viewing angles and across multiple images. Using the skeleton and the boundary data, effects can be added to the person, such as wings. The effects can change from image to image to account for the different viewing angles of the person captured in each image.

Abstract: Various embodiments of the present invention relate generally to systems and methods for analyzing and manipulating images and video. In particular, a multi-view interactive digital media representation can be generated from live images captured from a camera. The live images can include an object. An angular view of the object captured in the live images can be estimated using sensor data from an inertial measurement unit. The determined angular views can be used to select from among the live images and determine when a three hundred sixty degree view of the object has been captured. When the plurality of images is output to a display, the object can appear to undergo a 3-D rotation, such as a three hundred sixty degree rotation, through the determined angular view where the 3-D rotation of the object is generated without a 3-D polygon model of the object.

Abstract: Various embodiments of the present invention relate generally to systems and methods for analyzing and manipulating images and video. In particular, a multi-view interactive digital media representation can be generated from live images captured from a camera. The live images can include an object. An angular view of the object captured in the live images can be estimated using sensor data from an inertial measurement unit. The multi-view interactive digital media representation can include a plurality of images where each of the plurality of images includes the object from a different camera view. When the plurality of images is output to a display, the object can appear to undergo a 3-D rotation through the determined angular view where the 3-D rotation of the object is generated without a 3-D polygon model of the object.

Abstract: Various embodiments of the present invention relate generally to systems and methods for analyzing and manipulating images and video. In particular, a multi-view interactive digital media representation (MVIDMR) of a person can be generated from live images of a person captured from a hand-held camera. Using the image data from the live images, a skeleton of the person and a boundary between the person and a background can be determined from different viewing angles and across multiple images. Using the skeleton and the boundary data, effects can be added to the person, such as wings. The effects can change from image to image to account for the different viewing angles of the person captured in each image.

Abstract: A multi-view interactive digital media representation (MVIDMR) of an object can be generated from live images of an object captured from a camera. Selectable tags can be placed at locations on the object in the MVIDMR. When the selectable tags are selected, media content can be output which shows details of the object at location where the selectable tag is placed. A machine learning algorithm can be used to automatically recognize landmarks on the object in the frames of the MVIDMR and a structure from motion calculation can be used to determine 3-D positions associated with the landmarks. A 3-D skeleton associated with the object can be assembled from the 3-D positions and projected into the frames associated with the MVIDMR. The 3-D skeleton can be used to determine the selectable tag locations in the frames of the MVIDMR of the object.

Abstract: Various embodiments of the present invention relate generally to systems and methods for analyzing and manipulating images and video. In particular, a multi-view interactive digital media representation (MVIDMR) of object can be generated from live images of the object captured from a hand-held camera. Methods are described where image data associated with the images capture from the hand-held camera are manipulated to generate a more desirable MVIDMR of the object. In particular, the image data can be manipulated so that it appears as if the camera traveled a smoother trajectory during the capture of the images which can provide a smoother output of the MVIDMR. In embodiment, key point matching within the image data and, optionally, IMU data from a sensor package on the camera can be used to generate constraints used in a factor graph optimization that is used to generate a smoother trajectory of the camera.