[7] Ito, Minami, Hiroshi Tamura, Ichiro Fujita, and Keiji Tanaka, “Size and position invariance of neuronal responses in monkey inferotemporal cortex,” Journal ofNeurophysiology, 73, 1 (1995), pp. 218–226. [8] Lindeberg, Tony, “Scale-space theory: A basic tool for analysing structures...
This paper presents a method for extracting distinctive invariant features from images that can be used to perform reliable matching between different views of an object or scene. The features are invariant to image scale and rotation, and are shown to provide robust matching across a substantial r...
Its balanced scale-space atom with minimal spread in scale and space leads to an outstanding scale-invariant feature detection quality, albeit at reduced planar rotational invariance. Both sharp and distributed features like corners and blobs are reliably detected, irrespective of various image artifacts...
Aguado, in Feature Extraction and Image Processing for Computer Vision (Fourth Edition), 2020 8.3.2 Performance requirements The purpose of texture description is to derive some measurements that can be used to classify a particular texture. As such, there are invariance requirements on the ...
Singh B, Davis L S. An Analysis of Scale Invariance in Object Detection–SNIP[C]//Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition. 2018: 3578-3587. 论文链接:https://arxiv.org/abs/1711.08189 代码链接:https://github.com/bharatsingh430/snip ...
As a first step to obtain scale invariance, we create a multi-scale pyramid for detecting important features such as maxima, minima, and saddle points for 1D and 2D height fields. We use relative height histograms as GSIFT with support regions determined by the priority of the feature. We ...
(physics) (mathematics) a feature of objects or laws that do not change if length scales (or energy scales) are multiplied by a common factor. [..] + 添加翻译 英文-中文字典 尺度不變 wikidata 显示算法生成的翻译 将“ scale invariance "自动翻译成 中文 错误 再试一次 Glosbe Translate...
Affine invariance is further introduced to the Fan features based on the affine shape diagnosis of the mirror-predicted surface patch. The Fan features are then described by Fan-SIFT, which is an extension of the famous scale-invariant feature transform (SIFT) descriptor. Experimental results of ...
One or more orientations are assigned to each keypoint location based on local image gradient directions. All future operations are performed on image data that has been transformed relative to the assigned orientation, scale, and location for each feature, thereby providing invariance to these trans...
摘要: Scale Invariant Transforms are defined for both one- and two-dimensioned input functions. These have the desirable properties of linearity and invariance to scale change of the input.关键词: 44A15 DOI: 10.1007/BF03008953 年份: 1995