Kabushiki Kaisha Toshiba

Panasonic Corporation

Cambridge Enterprise Limited

Cambridge Heartwear Limited

Toyota Motor Europe

Qinetiq Limited

Cambridge University Technical Services Limited

Toyota Motor Europe Nv/sa

Roberto Cipolla

Bjorn Stenger

Frank Perbet

Oliver Woodford

Vincent Ping Leung Wan

Atsuto Maki

Minh-Tri Pham

Javier Latorre-Martinez

Masahiro Iwasaki

Ioannis Stylianou

Kayoko Yanagisawa

Rameen Shakur

Langzhou Chen

Norbert Braunschweiler

Robert Anderson

Robert Arthur Blokland

Roberto Mecca

Balakrishna Venkata Jagannadha Kolluru

Ryuji Funayama

Hiromichi Yanagihara

Stephan Liwicki

Sam Johnson

Ignas Budvytis

Riccardo Gherardi

George Vogiatzis

Arasanathan Thayananthan

James Charles

Bjorn Dietmar Rafael Stenger

Fotios Logothetis

Ranniery Da Silva Maia

Kunio Nobori

Gabriel J Brostow

Yasukazu Okamoto

Gabriel Othmezouri

Yoshinori Kuno

Ayako Komoto

Margaret Jai Varga

Ichiro Sakata

Paul Gerard Ducksbury

Julien Fauqueur

Maria Petrou

Christelle Marie Guittet

Anastasios Kesidis

Ranniery Maia

Pablo Alcantarilla

Carlos Hernandez

Rudra Prasad Poudel Karmatha

Neil Baker

Vijay Badrinarayanan

Fabio Galasso

Paolo Favaro

Levin Chun Kiat Tan

Patrick Sauer

Steven Morad

Rudra Poudel

A computer-implemented method for training an agent in a first context including an entity and an environment of the entity, to allow an apparatus to perform a navigation task in a second context comprising the apparatus and a physical environment of the apparatus, the apparatus adapted to receive images of the physical environment of the apparatus and comprising a steering device adapted to control the direction of the apparatus, the method comprising: obtaining one or more navigation tasks comprising: generating a navigation task; scoring the navigation task using a machine-learned model trained to estimate the easiness of tasks; in response to the score satisfying a selection criterion, selecting the navigation task as one of the one or more navigation tasks; and training the agent using a reinforcement learning method comprising attempting to perform, by the entity, the one or more navigation tasks using images of the environment of the entity.

Task performing agent systems and methods

A computer vision method for generating a three dimensional reconstruction of an object, the method comprising:

Computer vision method and system

A method of detecting abnormalities in ECG signals by providing an ECG signal to a neural network, performing a first series of convolution operations to a first subset of layers and in a final layer, and determining a plurality of preliminary classification estimates, each preliminary classification estimate corresponding with a time segment of the ECG signal. Furthermore, determining input data for a second subset of layers of the neural network by concatenating the preliminary classification with the output of a layer of the first subset of layers that precedes the final layer of the first subset of layers. Within the second subset of layers of the neural network, performing a second series of convolution operations. In a final layer of the second subset, determining plurality of final classification estimates, each final classification estimate corresponding with a time segment of the ECG signal.

Detecting abnormalities in ECG signals

A method for processing video data comprising a plurality of image frames, the method comprising: obtaining a forward model and a backward model of the plurality of image frames; processing the forward model and the backward model to propagate at least one label in the region or patch to at least one other image frame of the video sequence, using a probabilistic method for estimating the label in the at least one other image frame in forward and backward correspondences, wherein, during the processing, a pixel having a most likely label with a probability lower than a threshold value is assigned a predetermined generic label; and generating a labelled result for any given image frame by applying an image label difference, based on label uncertainty between the forward and backward correspondences, to the given image frame.

System and method for label augmentation in video data

A system for producing a 3D image of an object, the system includes: a processor adapted to receive multiview stereo photometric data, the multiview photometric stereo data including a first set of image data, wherein the first set of image data includes images captured by the first camera at a plurality of positions with illumination from different illumination directions such that there are a plurality of images from a different illumination direction for each position of the first camera, the processor being adapted to process the multiview photometric stereo data using a photometric stereo approach with a formulation of the irradiance using a reflection model that models both diffuse and specular reflection.

System and method for performing 3D imaging of an object

An image processing method for segmenting an image, the method comprising:

Computer vision system and method

A system for emulating a subject, to allow a user to interact with a computer generated talking head with the subject's face and voice;

Computer generated emulation of a subject

A method of detecting abnormalities in an ECG signals, comprising receiving an ECG signal, extracting at least one ECG beat the ECG signal; providing the at least one ECG beat to a neural network. Within the neural network, performing at least two layers of convolution operations, and for a beat of the ECG signal, determining a confidence map for the location of each of the P, Q, R, S and T points, determining, from the respective confidence maps the position or absence of points, the points comprising each of the P, Q, R, S and T points; and reporting the positions and/or absence of the points.

We disclose herein a method of detecting abnormalities in electrocardiogram (ECG) signals, the method comprising receiving a set of ECG signals from an ECG device; amplifying only the peaks of at least some of the set of ECG signals to produce ECG beat markings from which a heart rate is derivable to detect an irregular rhythm between at least two ECG beats; extracting a single ECG beat from the set of ECG signals from the ECG device by using said ECG beat markings; feeding the extracted single ECG beat into a first neural network; producing, at the first neural network, a compact representation of the extracted single ECG signal so as to generate a feature extraction output; and using, at a second neural network, the feature extraction output from the first neural network to generate a score associated with the abnormalities in the ECG signals.

Method of detecting abnormalities in ECG signals

A system for capturing 3D image data of a scene, including three light sources, each configured to emit light at a different wavelength to the other two sources and to illuminate the scene to be captured; a first video camera configured to receive light from the light sources which has been reflected from the scene, to isolate light received from each of the light sources, and to output data relating to the image captured for each of the three light sources; a depth sensor configured to capture depth map data of the scene; and an analysis unit configured to receive data from the first video camera and process the data to obtain data relating to a normal field obtained from the images captured for each of the three light sources, and to combine the normal field data with the depth map data to capture 3D image data of the scene.

Methods and systems for capturing 3D surface geometry

A method of animating a computer generation of a head, the head having a mouth which moves in accordance with speech to be output by the head,

Computer generated head

A method of object recognition and/or registration includes receiving a point cloud, arranging the points of the point cloud into a hierarchical search tree, and determining geometric information of the points located within a region, by identifying a highest level tree nodes where all of descendent leaf nodes are contained within the region and selecting the leaf nodes for the points where no sub-tree is entirely contained within the region, such that the points falling within the region are represented by the smallest number of nodes and performing statistical operations on the nodes representing the points in the region. The geometric information includes descriptors of features in the point cloud. The method further includes comparing the feature descriptors with a database of feature descriptors for a plurality of objects.

Image analysis method by analyzing point cloud using hierarchical search tree

According to one embodiment, a method of generating a three dimensional representation of a subject from a depth image, comprises comparing a depth image of the subject with a plurality of representative images, wherein each representative image is associated with a respective parametric model of a subject; identifying a representative image of the plurality of representative images as a closest representative image to the depth image of the subject; selecting the parametric model associated with the closest representative image to the depth image; and generating a three dimensional representation of the subject by fitting the selected parametric model to the depth image of the subject.

Methods and systems for generating a three dimensional representation of a subject

A method of animating a computer generation of a head and displaying the text of an electronic book, such that the head has a mouth which moves in accordance with the speech of the text of the electronic book to be output by the head and a word or group of words from the text is displayed while simultaneously being mimed by the mouth, wherein input text is divided into a sequence of acoustic units, which are converted to a sequence of image vectors and into a sequence of text display indicators. The sequence of image vectors is outputted as video such that the mouth of said head moves to mime the speech associated with the input text with a selected expression, and the sequence of text display indicators is output as video which is synchronized with the lip movement of the head.

Synthetic audiovisual storyteller

Growing community of inventors

Cambridge, United Kingdom

Roberto Cipolla