Omnivision Technologies, Inc.

Black Sesame Technologies Inc.

Black Sesame International Holding Limited

Jizhang Shan

Donghui Wu

Guansong Liu

Chengming Liu

Hui Pan

Jin Xu

Jin Li

Weihua Xiong

Jiangtao Kuang

Bo Li

Chin Poh Pang

Zuoguan Wang

Kah-Ong Tan

Chao Wang

Raymond Wu

Hongjun Li

Fangwen Tu

Changmeng Liu

Xiaoyong Wang

Yu Huang

Lu Gao

Qun Gu

Guannho Tsau

Kuochin Chang

Tiecheng Wu

Fei Wu

Ruihui Di

Xinhua Su

Jianyong Zhou

Howard E Rhodes

Yin Qian

Hsin-Chih Tai

Tiejun Dai

Xinping James He

Haifeng Li

Xiaodong Yang

Jian Zhou

Daniel L Flamm

Jie Shen

Eiichi Funatsu

Jing Wang

Hongli Yang

Ying Zhou

Zheng Qi

Yubo Duan

Chengyu Xiong

Yongshen Ni

Ming-Kai Hsu

Zhipeng Deng

Shunbo Mou

Jess Jan Young Lee

Henry Yang

Shuen Lyu

Evelyn Yi Lyn Chee

Yuekun Zhang

Chih Poh Pang

Charles Shan

Tony Liu

Chengjun Li

Yiu Fai Wong

Hao-Song Kong

James Xinping He

A method of determining a vehicle position and a vehicle velocity, including receiving a camera image sequence based on a camera borne by a vehicle and determining a camera pose based on the camera image sequence. The method includes determining a global position system location based on a global position system receiver borne by the vehicle, determining an inertial movement signal based on an inertial movement unit borne by the vehicle and receiving a wheel encoder signal from a wheel of the vehicle. The method additionally includes determining at least one of the vehicle positions and the vehicle velocity based on at least two of the camera pose, the global position system location, the inertial movement signal and the wheel encoder signal in temporal synchronization.

Vehicle localization precision enhancement via multi-sensor fusion

The present invention discloses system and method for processing an image. The invention processes the image by segmenting a human portrait region of the image. The invention uses ahierarchical hybrid loss module for masking the portrait region generating masked portrait region. The invention also uses data learning the masked portrait region.

Human portrait segmentation based image processing system

A method of motion control and textured display, comprising, receiving an image, extracting an initial mask of a subject of interest from the image, segmenting the image into the initial mask and a background, determining a color texture of the initial mask, estimating motion of the initial mask to a new mask and merging the new mask and the background into a merged image.

Subject segmentation for motion control and textured display

A distributed light source couple-able to a mobile device, comprising, a distributed array of light emitting points and a mount connected to the distributed array and couple-able to the mobile device, the distributed array capable of light emission from a plurality of areas.

Flash array for portable camera system

An example method of infrared access, comprising, receiving a plurality of visual images, receiving a plurality of infrared images, calibrating pairs of at least one of the plurality of visual images to a respective at least one of the plurality of infrared images, determining an average temperature of the plurality of infrared images, determining a temperature of the respective calibrated pairs, and granting access if a visual image of the calibrated pair is authenticated by a facial recognition library and if the temperature of the calibrated pair is within a predefined threshold of the average temperature.

Infrared temperature measurement fused with facial identification in an access control system

A method of depth-of-field simulation, including receiving a plurality of images, predicting a layer of interest mask of the plurality of images, determining a plurality of mean brightness anchor values of a respective plurality of layers of interest window arrays, setting a plurality of layers of interest set of binary codes, determining a hamming distance between plurality of layers of interest set of binary codes, determining a cost volume based on the hamming distance, resampling a vertical cost based on a vertical ordinal direction the cost volume, resampling a horizontal cost based on a horizontal ordinal direction the cost volume, determining an all-in-focus layer based on the vertical cost and the horizontal cost, determining an out-of-focus layer based on the vertical cost and the horizontal cost and determining a depth of the all-in-focus layer and out-of-focus layer.

Depth-of-field simulation via optical-based depth extraction

The present invention discloses system and method for fake face identification. The system is a multi-spectral sensing based bio-security system. The system uses CNN module along with thermal sensors to detect human face and also detects the human temperature. The system authenticates a human face and in case of temperature generates an alarm as an alert.

Bio-security system based on multi-spectral sensing

A method of wheel encoder to camera calibration, including receiving a LiDAR (Light Detection and Ranging) signal, receiving a camera signal, receiving a wheel encoder signal, calibrating the camera signal to the LiDAR signal, calibrating the wheel encoder signal to the LiDAR signal and calibrating the camera signal to the wheel encoder signal based on the calibration of the camera signal to the LiDAR signal and the wheel encoder signal to the LiDAR signal.

LiDAR assisted wheel encoder to camera calibration

An example method of infrared access, comprising, receiving a plurality of visual images, receiving a plurality of infrared images, calibrating the plurality of visual images to the plurality of infrared images, determining an average temperature of the plurality of infrared images, determining an outlier temperature of an outlier infrared image of the plurality of infrared images and matching the outlier infrared image to a visual image.

A method of depth estimation utilizing heterogeneous cameras, comprising, homogenizing a first camera image and a second camera image based on a first camera calibration dataset and a second camera calibration dataset respectively, wherein the first camera image and second camera image are distortion corrected and are zoom compensated, determining an initial image pair rectification transformation matrix of the homogenized first camera image and the homogenized second camera image, determining a delta image pair rectification transformation matrix based on the initial image pair rectification transformation matrix, determining, a final image pair rectification transformation matrix based on the initial image pair rectification transformation matrix and the delta image pair rectification transformation matrix resulting in a final rectified image pair and disparity mapping the final rectified image pair based on a depth net regression.

Stereo vision with weakly aligned heterogeneous cameras

An example photographic feedback method, comprising, inputting a query image, a camera setting, a location, a temporal indicia and an environmental condition, detecting an object within the query image, projecting the location of the object, classifying the environmental condition at the location of the object, querying features of the query image of the object at the environmental condition of the projected location of the object, determining a closest image to the query image for the object at the environmental condition of the projected location of the object having a highly rated value via a cloud database and sending an updated location and at least one updated camera setting for an updated image.

Photo taking feedback system

A system to avoid obstacles, having an infrared emitter emitting an infrared pulse, an infrared receiver aligned with the infrared emitter so as to receive a reflection of the infrared pulse, a timer coupled to the infrared emitter and infrared receiver, the timer controlling a length of time the infrared emitter emits the infrared pulse and an exposure duration of the infrared receiver, the timer simultaneously initiates the emitting of the infrared pulse and an initiation of the exposure duration of the infrared receiver, and a controller coupled to the timer, the infrared emitter and the infrared receiver to adjust the exposure duration of the infrared receiver to determine a distance of an object reflecting the emitted infrared pulse.

Obstacle detection by global shutter image sensor

A method of partial frame perception, comprising receiving a bottom portion of an inverted image, detecting traffic areas of interest in the bottom portion of the inverted image, streaming the detected traffic areas of interest to a perception processor, receiving a top portion of the inverted image, detecting stationary areas of interest in the top portion of the inverted image and streaming the detected stationary areas of interest to the perception processor.

Partial frame perception

A method of focusing dual cameras including receiving a fixed focus image from a fixed focus camera module, receiving an auto focus image from an auto focus camera module, calibrating a lens distortion of the auto focus camera module, calibrating a geometric relation of the auto focus camera module and the fixed focus camera module, calculating a depth of focus difference between the fixed focus image and the auto focus image, estimating an auto focus position based on the depth of focus difference and setting the auto focus position based on the estimation.

Fast focus using dual cameras

A method of depth estimation utilizing heterogeneous cameras, comprising, homogenizing a first camera image and a second camera image based on a first camera calibration dataset and a second camera calibration dataset respectively, wherein the first camera image and second camera image are distortion corrected and are zoom compensated, determining an initial image pair rectification transformation matrix of the homogenized first camera image and the homogenized second camera image, determining a delta image pair rectification transformation matrix based on the initial image pair rectification transformation matrix, determining a final image pair rectification transformation matrix based on the initial image pair rectification transformation matrix and the delta image pair rectification transformation matrix resulting in a final rectified image pair and disparity mapping the final rectified image pair based on a depth net regression.

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Cupertino, CA, United States of America

Jizhang Shan