Design of a Pixel-parallel Feature Extraction Vlsi System for Biologically-inspired Object Recognition Methods
نویسندگان
چکیده
This paper proposes a biologically-inspired feature extraction method, which consists of coarse region segmentation by a resistive-fuse network and feature extraction by Gabor wavelet transforms. Their pixel-parallel VLSI implementation based on the pulse modulation circuit architecture is described, and measurement results of Gabor filter operation by a test LSI chip with 1-D 20-pixels are presented.
منابع مشابه
Handwritten digit recognition using biologically inspired features
Image recognition problems are usually difficult to solve using raw pixel data. To improve the recognition it is often needed some form of feature extraction to represent the data in a feature space. We use the output of a biologically inspired model for visual recognition as a feature space. The output of the model is a binary code which is used to train a linear classifier for recognizing han...
متن کاملA low power, VLSI object recognition processor using Sparse FIND feature for 60 fps HDTV resolution video
This paper describes a low-power object recognition processor VLSI for HDTV resolution video at 60 frames per second (fps) using an object recognition algorithm with Sparse FIND features. The VLSI processor features two-stage feature extraction processing by HOG and Sparse FIND, a highly parallel classification in the support vector machine (SVM), and a block-parallel processing for RAM access ...
متن کاملBiologically Inspired Methods for Model Matching and Object Recognition
I will present various systems for the recognition of human faces and technical objects. They consist of three steps: feature extraction, solving the correspondence problem, and the actual comparison with stored models. Feature extraction is based on detailed models of cells in the primary visual cortex. The matching will be done by methods based on the Dynamic Link Architecture, which is curre...
متن کاملAutomatic Face Recognition via Local Directional Patterns
Automatic facial recognition has many potential applications in different areas of humancomputer interaction. However, they are not yet fully realized due to the lack of an effectivefacial feature descriptor. In this paper, we present a new appearance based feature descriptor,the local directional pattern (LDP), to represent facial geometry and analyze its performance inrecognition. An LDP feat...
متن کاملDesign-Space Exploration of Biologically-Inspired Visual Object Recognition Algorithms Using CPUs, GPUs, and FPGAs
In recent years, biologically-inspired visual object recognition algorithms – those that aim to mirror the computations performed by the brain's visual system – have emerged as exceptionally promising candidates in object and face recognition research, achieving impressive performance on a range of object and face recognition tasks. While these algorithms typically require a large number of ope...
متن کامل