… Based on the template matching, the image feature vector is used to match the image in
this paper, which reduces the computation and solves the problem of image recognition. We …

… This paper proposes an improved template matching algorithm based on geometric edge to
… edge template by Canny edge detection; calculates the gradient direction of template edge …

… template and the injury model to guide the performance of movement. The experiments
show the features … KNN algorithm can get a competitive recognition result. We has compared …

… Then,the response function of Hessian matrix determinant is o btained by increasing the
box filter template and the integral image. Feature points are calculated on the response …

… To solve the problem of insufficient feature information of … and feature fusion. First,
deconvolution is employed to process the shallow feature layer to increase the resolution of the …

… a single image could represent a person’s features by template … We tested the proposed
gait recognition method on the … in template construction, extraction of gait features using the …

… detection method capable of utilizing multiple image features. With a moving window, we first
get the structural similarities of both time phase image visual features … these templates and …

… cloud in a single satellite image, based on its ablity to reflect rotation characteristic more or
less, and statistics the degree of rotation of clouds, then combine other features, such as circle…

In this paper, aiming at the application of target tracking, an improved convolutional network
Siamese-MF (multi-feature Siamese networks) based on Siamese-FC (fully-convolutional …