Samsung Electronics Co., Ltd.

Universitaet Zuerich

Eric Hyunsurk Ryu

Keun Woo Park

Kyoobin Lee

Jun Haeng Lee

Sung Ho Kim

Junseok Kim

Yunjae Suh

Shandong Wang

Ping Guo

Chang Woo Shin

Jin-Man Park

Wentao Mao

Joo Yeon Woo

Xiaotao Wang

Guangqi Shao

Moradi Saber

Kyoungseok Pyun

Qiang Wang

Qing Fa Wang

Young Wan Seo

Jaehoon Cho

Baek Hwan Cho

Jooyeon Woo

Hyunku Lee

Keun Joo Park

Tobi Delbruck

Changwoo Shin

Sang-Gyun Chon

A circuit configured to amplify a signal from which an offset is cancelled includes an amplifier including an input stage configured to receive an input signal, the amplifier configured to amplify the input signal and output the amplified signal, and a switch including a transistor configured to reset the amplifier in response to a reset signal, the transistor including a body node connecting the transistor to the circuit, the transistor being configured to form a current path between the body node of the transistor and the input stage of the amplifier.

Event-based vision sensor and difference amplifier with reduced noise and removed offset

A sensor configured for sensing motion information, illumination information, and proximity information is provided. The sensor includes a light sensing module configured to sense a change in an intensity of light, a filtering module configured to filter light incident to the light sensing module by using a plurality of filters, and a processor configured to process information associated with an intensity of light passing through the filters.

Sensor for motion information, illumination information and proximity information, and operating method of central processing unit (CPU) using the sensor

A method and device for recognizing a motion of an object, the method including receiving event signals from a vision sensor configured to sense the motion, storing, in an event map, first time information indicating a time at which intensity of light corresponding to the event signals changes; generating an image based on second time information corresponding to a predetermined time range among the first time information, and recognizing the motion of the object based on the image.

Method and device for recognizing motion

An operation method of a neural network, a training method, and a signal processing apparatus are provided. The operation method includes receiving an output signal from a first neural network, and converting a first feature included in the output signal to a second feature configured to be input to a second neural network, based on a conversion rule controlling conversion between a feature to be output from the first neural network and a feature to be input to the second neural network. The operation method further includes generating an input signal to be input to the second neural network, based on the second feature, and transmitting the input signal to the second neural network.

Interface neural network

A user interface apparatus and a method of improving user interface are provided. The user interface apparatus may detect a change in an incident light and may control a display to represent the detected change in the light to be overlaid on image content. Provided is a user interface apparatus including: a display configured to display image content; a detector configured to detect a change in an incident light; and a controller configured to control the display to overlay the detected change in the light on the image content.

User interface apparatus and user interface method

A data communication device is provided. The data communication device includes a data array configured to receive pieces of data, register cells, each register cell of the registers cells being configured to be activated based on a respective one of the pieces of data, and an outputter configured to output information corresponding to a register cell that is activated among the register cells.

Data communication device

Provided is an event signal processing method and apparatus. The event signal processing method includes acquiring, from an event based sensor, coordinates of an active pixel corresponding to an event and a timestamp corresponding to the event; mapping the event to a target voxel included in a three-dimensional (3D) grid based on the coordinates of the active pixel and the timestamp; and updating a value of the target voxel based on the event.

Event signal processing method and apparatus

A pose estimation method and apparatus are provided. The method includes determining, as a rotation component, an output value of a motion sensor configured to sense a motion of the pose estimation apparatus, determining a change amount of a translation component based on the rotation component, and the translation component extracted from images photographed by a vision sensor included in the pose estimation apparatus, optimizing the translation component based on the change amount, and outputting the rotation component and the optimized translation components a pose estimation value of the pose estimation apparatus.

Pose estimation method and apparatus

An event-based sensor and a pixel of the event-based sensor are provided. The event-based sensor includes a pixel array including pixels, a selection circuit configured to select a part of the pixels, an event circuit configured to generate an event signal indicating an active pixel sensing an event among the selected part of the pixels, based on output signals of the selected part of the pixels, and an output circuit configured to output information indicating the active pixel based on the event signal.

Event-based sensor and pixel of event-based sensor

An object recognition apparatus and an object recognition method are provided. The object recognition method includes generating an input image based on an event flow of an object, generating a composite feature based on features extracted by a plurality of recognizers, and recognizing the object based on the composite feature.

Object recognition method and apparatus

An image generating method and an image generating apparatus are provided. The image generating method includes generating a first image based on first event signals that are output from an event-based vision sensor during a first time period and stored in a buffer, generating a second image based on second event signals that are output from the event-based vision sensor during a second time period and stored in the buffer, and aligning the first image and the second image to generate a third image having a quality that is higher than qualities of the first image and the second image.

Image generating method and apparatus

An event signal processing method and apparatus are provided. The event signal processing method includes receiving, from an event-based sensor, event signals including timestamps, generating a first timestamp map based on the timestamps, and interpolating a new timestamp into the first timestamp map based on at least two timestamps of the first timestamp map, to generate a second timestamp map.

A method and apparatus for detecting an object using an event-based sensor is provided. An object detection method includes determining a feature vector based on target pixels and neighbor pixels included in an event image, and determining a target object corresponding to the target pixels based on the feature vector.

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Hwaseong-si, South Korea

Eric Hyunsurk Ryu