Intel Corporation

Asaf Shiloni

Jill MacDonald Boyce

Wenlong Li

Xiaofeng Tong

Tzach Ashkenazi

Maria Bortman

Yuri Shpalensky

Ilan Beer

Alex Gendelman

Ben Raziel

Gilad Bauman

Eytan Kats

Methods and apparatus to generate photo-realistic three-dimensional models of a photographed environment are disclosed. An apparatus includes an object position calculator to determine a three-dimensional (3D) position of an object detected within a first image of an environment and within a second image of the environment. The apparatus further includes a 3D model generator to generate a 3D model of the environment based on the first image and the second image. The apparatus also includes a model integrity analyzer to detect a difference between the 3D position of the object and the 3D model. The 3D model generator automatically modifies the 3D model based on the difference in response to the difference satisfying a confidence threshold.

Methods and apparatus to generate photo-realistic three-dimensional models of a photographed environment

Embodiments are generally directed to neural network based patch blending for immersive video. An embodiment of a system includes one or more processor cores; a memory to store data for images in immersive video; and a neural network training framework. The neural network training framework is to generate a trained neural network for blending of a view of an object with patches generated for one or more detected occlusions for the object.

Neural network based patch blending for immersive video

Growing community of inventors

Tel Aviv, Israel

Asaf Shiloni