Invention Grant
- Patent Title: Foveated partial image compression using automatically detected landmarks
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Application No.: US18078179Application Date: 2022-12-09
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Publication No.: US12250385B2Publication Date: 2025-03-11
- Inventor: Jacob Gorm Hansen
- Applicant: Vertigo.ai ApS
- Applicant Address: DK Ryomgård
- Assignee: Vertigo.ai ApS
- Current Assignee: Vertigo.ai ApS
- Current Assignee Address: DK Ryomgård
- Agent Jeffrey Pearce
- Main IPC: H04N19/167
- IPC: H04N19/167 ; G06T3/4046 ; G06T3/4084 ; G06T7/246 ; G06T7/73 ; H04N19/105 ; H04N19/12 ; H04N19/132 ; H04N19/172 ; H04N19/42 ; H04N19/60 ; H04N19/85

Abstract:
According to an image transmission method, a pre-processed image is inputted into a compression system, which automatically localizes at least one primary feature in the pre-processed image and then automatically determines a position within the pre-processed image of at least one landmark corresponding to the at least one primary feature. It then automatically foveates the pre-processed image to emphasize portions of the pre-processed image within a pre-determined measure of closeness to the landmark(s) and transmits the foveated image to at least one recipient system, which reconstructs a received version of the pre-processed image by inverse foveation. In one embodiment, an incompressible fluid mechanics model is used to determine the degree of foveation at different points in the pre-processed image.
Public/Granted literature
- US20230188731A1 Foveated Partial Image Compression Using Automatically Detected Landmarks Public/Granted day:2023-06-15
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