Qualcomm Incorporated

Bing Han

Marta Karczewicz

Geert Van Der Auwera

Louis Joseph Kerofsky

Sungwon Lee

Tauseef Kazi

Pia Zobel

Roee Hardoon

Nitin Bandwar

Kuan-Ting Shen

Dangdang Shao

Khalid Tahboub

Certain aspects of the present disclosure provide techniques for global motion modeling. Embodiments include receiving a first image and a second image from a camera attached to a moving object. Embodiments include identifying a pixel in the first image. Embodiments include determining, based on one or more parameters associated with the camera, a vector representing a range of locations in which a real-world point corresponding to the pixel is likely to be found in the second image, wherein the parameters associated with the camera comprise: a first parameter related to a location of the camera relative to a ground surface; a second parameter related to motion of the moving object; and a third parameter related to an orientation of the camera relative to the ground surface. Embodiments include determining, using the vector, a location of the real-world point in the second image.

Global motion modeling for automotive image data

Systems and techniques are provided for conserving resources when performing motion estimation. An example process can include determining, based on an input image and a reference image, motion vectors identifying motion between the input image and the reference image; determining whether the motion indicated by the motion vectors is below a first threshold; based on a determination that the motion indicated by the motion vectors is below the first threshold, refraining from determining a local motion between the input image and the reference image; determining a transform matrix based on the motion vectors and without using a local motion between the input image and the reference image; and adjusting the input image based on the transform matrix.

Scale image resolution for motion estimation

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San Diego, CA, United States of America

Bing Han