Nvidia Corporation

Rochelle Pereira

Jianyuan Min

Vukasin Milovanovic

Joy D'Souza

David Cook

Hassane S Azar

Dawid Stanislaw Pajak

Santanu Dutta

Patrick James Neill

Bryan Dudash

Akarsh Umesh Zingade

Shuye Han

In various examples, image data may be received that represents an image. Corner detection may be used to identify pixels that may be candidate corner points. The image data may be converted from a higher dimensional color space to a converted image in a lower dimensional color space, and boundaries may be identified within the converted image. A set of the candidate corner points may be determined that are within a threshold distance to one of the boundaries, and the set of the candidate corner points may be analyzed to determine a subset of the candidate corner points representative of corners of polygons. Using the subset of the candidate corner points, one or more polygons may be identified, and a filter may be applied to the polygons to identify a polygon as corresponding to a fiducial marker boundary of a fiducial marker.

Graphical fiducial marker identification

Systems, processes, and techniques to automatically detect and enlarge a speaking one of plurality of participants on one side of a video conference. In at least one embodiment, the speaking participant is identified using one or more heuristics and/or one or more neural networks.

Machine learning techniques for enhancing video conferencing applications

Graphical fiducial marker identification suitable for augmented reality, virtual reality, and robotics

A method for stereoscopically presenting visual content is disclosed. The method comprises identifying and distinguishing between a first type of content and a second type of content of a frame to be stereoscopically displayed. The method also comprises rendering the first type of content in a first left and a first right frame from a single perspective using a first stereoscopic rendering method. Further, the method comprises rendering the second type of content in a second left and a second right frame using a second, different stereoscopic method from two different perspectives. Additionally, the method comprises merging the first and second left frames and the first and second right frames to produce a resultant left frame and a resultant right frame. Finally, the method comprises displaying the resultant left frame and the resultant right frame for stereoscopic perception by a viewer.

Hybrid virtual 3D rendering approach to stereovision

A system and method are provided for a 3D modeling system with which an encoded video stream is produced. The system includes a content engine, an encoder, and a fixed function engine. The fixed function engine receives content information from the content engine. The fixed function engine produces encoder information from the content information. The encoder uses the encoder information to produce an encoded video stream having at least one of a higher quality and a lower bandwidth than a video stream encoded without the encoder information.

System and method for controlling video encoding using content information

In a deblocking operation, pixel values within a first block of pixels are compared, and pixel values in the first block are also compared to pixel values in a second block of pixels that is adjacent to the first block. Based on the results of the comparisons, a digital deblocking filter and a region of interest can be selected, where the region of interest identifies a number of pixels in the first block and a number of pixels in the second block to which the selected filter is to be applied.

Growing community of inventors

Santa Clara, CA, United States of America

Rochelle Pereira