Institut National De Recherche En Informatique Et En Automatique

Inria Institut National De Recherche En Informatique Et En Automatique

Mauna Kea Technologies

Inria Institut National De Recherche

Xavier Pennec

Nicholas Ayache

Gregoire Malandain

Aymeric Perchant

Tom Vercauteren

Nicolas Ayache

Alexis Roche

Vincent Arsigny

Pierre Fillard

A method for mosaicing frames from a video sequence is disclosed. Each frame is constituted by a point cloud, and each point in the point cloud is potentially acquired at a different time. The method involves compensating for motion and motion distortion due to acquisition time differences in each frame, applying a global optimization of inter-frame registration to align consistently the frames, and applying a reconstruction algorithm on the registered frames to construct a mosaic.

Robust mosaicing method, notably with correction of motion distortions and tissue deformations for a vivo fibered microscopy

A device (D) is dedicated to the processing of data constituting initial tensor images, each tensor being a real symmetric and positive definite matrix representing an elementary part of a received tensor image. This device (D) comprises, on the one hand, a first calculating module (MC) capable of performing a first selected, bijective and defined function of R*in R, and being associated with a selected metric definition, this first function allowing a second reciprocal function, and on the other, comprises a first processing module (MT) provided for: i) constituting a first representation of a received tensor image; ii) calling the first calculating module (MC) for applying the first function to a selected part of the first representation whereby obtaining a transformed part, and; iii) constituting, from the transformed part, a second representation of the tensor images ready to be processed.

Device for processing raw images or tensor images

A mosaicing method taking into account motion distortions, irregularly sampled frames and non-rigid deformations of the imaged tissue. The method for mosaicing frames from a video sequence acquired from a scanning device such as a scanning microscope, includes the steps of: a) compensating for motion and motion distortion due to the scanning microscope, b) applying a global optimization of inter-frame registration to align consistently the frames c) applying a construction algorithm on the registered frames to construct a mosaic, and d) applying a fine frame-to-mosaic non rigid registration. The method is based on a hierarchical framework that is able to recover a globally consistent alignment of the input frames, to compensate for the motion distortions and to capture the non-rigid deformations.

Robust mosaicing method, notably with correction of motion distortions and tissue deformations for in vivo fibered microscopy

An electronic data processing device receives first and second data sets representing first and second comparable digital images. It comprises registration means comprising a first module which calculates a main function representative of the correlation ratios between the data of the first and second sets, and a second module which determines a registration transformation between one of the images and the other from the main function.

Electronic device for automatic registration of images

Growing community of inventors

Antibes, France

Xavier Pennec