An actuation assembly comprising: a support structure; a movable element movable relative to the support structure, the movable element having a principal axis; and an actuator arrangement for driving movement of the movable element with respect to the support structure, wherein said movement includes rotational movement of the movable element about an axis which is perpendicular to said principal axis and does not pass through the centre of the movable element, and wherein said movement also includes translational movement of the movable element in a direction perpendicular to the principal axis. The actuation assembly may be used to perform optical image stabilisation or to improve the performance of a 3D sensing system.

An actuation assembly comprising: a support structure; a movable element movable relative to the support structure, the movable element having a principal axis; and an actuator arrangement for driving movement of the movable element with respect to the support structure, wherein said movement includes rotational movement of the movable element about an axis which is perpendicular to said principal axis and does not pass through the centre of the movable element, and wherein said movement also includes translational movement of the movable element in a direction perpendicular to the principal axis. The actuation assembly may be used to perform optical image stabilisation or to improve the performance of a 3D sensing system.

Various embodiments describe systems and processes for capturing and generating multi-view interactive digital media representations (MIDMRs). In one aspect, a method for automatically generating a MIDMR comprises obtaining a first MIDMR and a second MIDMR. The first MIDMR includes a convex or concave motion capture using a recording device and is a general object MIDMR. The second MIDMR is a specific feature MIDMR. The first and second MIDMRs may be obtained using different capture motions. A third MIDMR is generated from the first and second MIDMRs, and is a combined embedded MIDMR. The combined embedded MIDMR may comprise the second MIDMR being embedded in the first MIDMR, forming an embedded second MIDMR. The third MIDMR may include a general view in which the first MIDMR is displayed for interactive viewing by a user on a user device. The embedded second MIDMR may not be viewable in the general view.

Various embodiments describe systems and processes for capturing and generating multi-view interactive digital media representations (MIDMRs). In one aspect, a method for automatically generating a MIDMR comprises obtaining a first MIDMR and a second MIDMR. The first MIDMR includes a convex or concave motion capture using a recording device and is a general object MIDMR. The second MIDMR is a specific feature MIDMR. The first and second MIDMRs may be obtained using different capture motions. A third MIDMR is generated from the first and second MIDMRs, and is a combined embedded MIDMR. The combined embedded MIDMR may comprise the second MIDMR being embedded in the first MIDMR, forming an embedded second MIDMR. The third MIDMR may include a general view in which the first MIDMR is displayed for interactive viewing by a user on a user device. The embedded second MIDMR may not be viewable in the general view.

A three-dimensional model of an object is employed to aid in navigation among a number of images of the object taken from various viewpoints. In general, an image of an object such as a digital photograph is displayed in a user interface or the like. When a user selects a point within the display that corresponds to a location on the surface of the object, another image may be identified that provides a better view of the object. In order to maintain user orientation to the subject matter while navigating to this destination viewpoint, the display may switch to a model view and a fly-over to the destination viewpoint may be animated using the model. When the destination viewpoint is reached, the display may return to an image view for further inspection, marking, or other manipulation by the user.

A three-dimensional model of an object is employed to aid in navigation among a number of images of the object taken from various viewpoints. In general, an image of an object such as a digital photograph is displayed in a user interface or the like. When a user selects a point within the display that corresponds to a location on the surface of the object, another image may be identified that provides a better view of the object. In order to maintain user orientation to the subject matter while navigating to this destination viewpoint, the display may switch to a model view and a fly-over to the destination viewpoint may be animated using the model. When the destination viewpoint is reached, the display may return to an image view for further inspection, marking, or other manipulation by the user.

Systems and methods are disclosed for directed image capture of a subject of interest, such as a physical building. Directed image capture can produce higher quality images such as content more centrally located within an image frame (or an associated viewing device or other display), higher quality images have greater value for subsequent uses of captured images such as for information extraction or model reconstruction. Graphical guide(s) overlaid within an image frame can facilitate quality assessments for the content or the image frame itself, such as for pixel distance of the subject of interest to a centroid of the image frame (or an associated viewing device or other display), or the effect of obscuring objects. Quality assessments can further include instructions for improving the quality of the image capture for the content of interest.

Systems and methods are disclosed for directed image capture of a subject of interest, such as a physical building. Directed image capture can produce higher quality images such as content more centrally located within an image frame (or an associated viewing device or other display), higher quality images have greater value for subsequent uses of captured images such as for information extraction or model reconstruction. Graphical guide(s) overlaid within an image frame can facilitate quality assessments for the content or the image frame itself, such as for pixel distance of the subject of interest to a centroid of the image frame (or an associated viewing device or other display), or the effect of obscuring objects. Quality assessments can further include instructions for improving the quality of the image capture for the content of interest.

Disclosed in the embodiments of the present disclosure are a method for planning three-dimensional scanning viewpoint, a device for planning three-dimensional scanning viewpoint and a computer readable storage medium. After a low-precision digitalized model of an object to be scanned is acquired, viewpoint planning calculation is performed, on the basis of a viewpoint planning algorithm, on point cloud data in the low-precision digitalized model, and then the positions and line-of-sight directions of a plurality of viewpoints in space are calculated when a three-dimensional sensor needs to perform three-dimensional scanning on said object. Calculating viewpoints of a three-dimensional sensor by means of a viewpoint planning algorithm can effectively improve the accuracy and scientific nature of sensor posture determination, greatly improving the efficiency of viewpoint planning, and reducing the time consumed in the whole three-dimensional measurement process.

Disclosed in the embodiments of the present disclosure are a method for planning three-dimensional scanning viewpoint, a device for planning three-dimensional scanning viewpoint and a computer readable storage medium. After a low-precision digitalized model of an object to be scanned is acquired, viewpoint planning calculation is performed, on the basis of a viewpoint planning algorithm, on point cloud data in the low-precision digitalized model, and then the positions and line-of-sight directions of a plurality of viewpoints in space are calculated when a three-dimensional sensor needs to perform three-dimensional scanning on said object. Calculating viewpoints of a three-dimensional sensor by means of a viewpoint planning algorithm can effectively improve the accuracy and scientific nature of sensor posture determination, greatly improving the efficiency of viewpoint planning, and reducing the time consumed in the whole three-dimensional measurement process.