Using synthetic basis feature descriptor for motion estimation

An efficient feature descriptor based on synthetic basis functions and uniqueness matching strategy

Feature matching is an important step for many computer vision applications. This presentation introduces the development of a new feature descriptor, called SYnthetic BAsis (SYBA), for feature point description and matching. SYBA is built on the basis of the compressed sensing theory that uses synthetic basis functions to encode or reconstruct a signal. It is a compact and efficient binary des...

A novel Local feature descriptor using the Mercator projection for 3D object recognition

Point cloud processing is a rapidly growing research area of computer vision. Introducing of cheap range sensors has made a great interest in the point cloud processing and 3D object recognition. 3D object recognition methods can be divided into two categories: global and local feature-based methods. Global features describe the entire model shape whereas local features encode the neighborhood ...

Motion-Specialized Deep Convolutional Descriptor for Plant Water Stress Estimation

Nature-Inspired BASIS Feature Descriptor and Its Hardware Implementation

This paper presents the development of a color feature descriptor wellsuited for low resource applications such as UAV embedded systems, small microprocessors, and field programmable gate array (FPGA) fabric, and its hardware implementation. The BAsis Sparse-coding Inspired Similarity (BASIS) descriptor utilizes sparse coding to create dictionary images that model the regions in the human visua...

Feature-assisted search technique for motion estimation

Motion estimation (ME) is one of the most time-consuming parts in video encoding system, and significantly affects the quality of the reconstructed sequences. In this paper, we propose a new fast algorithm, or the Feature Assisted Search Technique for Motion Estimation (FASTME), which is a gradient descent search combined with a new search strategy, namely, one-dimensional feature matching base...