BIAS-3D: Brain inspired attentional search model fashioned after what and where/how pathways for target search in 3D environment

ABSTRACT: We propose a brain inspired attentional search model for target search in a 3D environment, which has two separate channels—one for the object classification, analogous to the “what” pathway in the human visual system, and the other for prediction of the next location of the camera, analogous to the “where” pathway. To evaluate the proposed model, we generated 3D Cluttered Cube datasets that consist of an image on one vertical face, and clutter or background images on the other faces. The camera goes around each cube on a circular orbit and determines the identity of the image pasted on the face. The images pasted on the cube faces were drawn from: MNIST handwriting digit, QuickDraw, and RGB MNIST handwriting digit datasets. The attentional input of three concentric cropped windows resembl

SUBMITTER: Kumari S 

PROVIDER: S-EPMC9716564 | biostudies-literature | 2022 Jan

REPOSITORIES: biostudies-literature