AINov 23, 2022
Bayesian Brain: Computation with Perception to Recognize 3D Objects
arXiv:2211.13315v1h-index: 18
Originality Synthesis-oriented
AI Analysis
This work addresses object recognition in computer vision, but it appears incremental as it applies an existing Bayesian method to a known problem.
The paper tackles 3D object recognition by mimicking human perception using a Bayesian hypothesis, specifically employing an approximate Bayesian (Empirical Bayesian) approach for perceptual inference.
We mimic the cognitive ability of Human perception, based on Bayesian hypothesis, to recognize view-based 3D objects. We consider approximate Bayesian (Empirical Bayesian) for perceptual inference for recognition. We essentially handle computation with perception.