Systems and methods for generating object detection labels using foveated image magnification for autonomous driving

A system for processing a high-resolution image, the system comprising:

• a processor;
• and
• a non-transitory computer readable medium comprising programming instructions that when executed by the processor, will cause the processor to:
• receive a high-resolution image;
• generate, using a saliency model, a saliency map of the high-resolution image, the saliency map comprising a saliency value associated with each of a plurality of pixels of the high-resolution image;
• generate, using the saliency map, an inverse transformation function that is representative of an inverse mapping of one or more first pixel coordinates in a warped image to one or more second pixel coordinates in the high-resolution image;
• implement, using the inverse transformation function, an image warp for converting the high-resolution image to the warped image, the warped image being a foveated image that includes at least one region having a higher resolution than one or more other regions of the warped image;
• and
• save the warped image to a data store.

A non-transitory computer program product for processing a high-resolution image, the computer program product comprising a memory that stores programming instructions that are configured to cause a processor to:

• receive a high-resolution image;
• generate, using a saliency model, a saliency map of the high-resolution image, the saliency map comprising a saliency value associated with each of a plurality of pixels of the high-resolution image;
• generate, using the saliency map, an inverse transformation function that is representative of an inverse mapping of one or more first pixel coordinates in a warped image to one or more second pixel coordinates in the high-resolution image;
• implement, using the inverse transformation function, an image warp for converting the high-resolution image to the warped image, the warped image being a foveated image that includes at least one region having a higher resolution than one or more other regions of the warped image;
• and
• save the warped image to a data store.