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In this paper, we propose a combined classifier approach based on Inner Distance Shape Context (IDSC) and Local Binary Pattern (LBP) to classify shapes ...
In this paper, we propose a combined classifier model based on two dimensional discrete cosine transform (2D-DCT) and Height Functions (HF) for accurate ...
Shape Representation and Classification Based on Discrete Cosine Transformation and IDSC. B. H. Shekar, Bharathi Pilar.
In this paper, we propose a combined classifier model based on two dimensional discrete cosine transform (2D-DCT) and Height.
Shape Representation and Classification Based on Discrete Cosine Transformation and IDSC · B. H. ShekarBharathi Pilar. Computer Science. WCI '15. 2015. TLDR. A ...
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Sep 21, 2016 · Shape Representation and Classification Based on Discrete Cosine Transformation and IDSC · An unification of Inner Distance Shape Context and ...
In this paper, we present a decision level fused local Morphological Pattern Spectrum (PS) and Local Binary Pattern (LBP) approach for an efficient shape ...
A discrete cosine transform (DCT) expresses a finite sequence of data points in terms of a sum of cosine functions oscillating at different frequencies.
Missing: Shape IDSC.
Visual perception of solid shape from occluding contours · Read More · Shape Representation and Classification Based on Discrete Cosine Transformation and IDSC.
Each Discrete Cosine Transform uses N real basis vectors whose components are cosines. In the DCT-4, for example, the jth component of vk is cos(j + 12 )(к + 12 ...
Missing: Shape Classification IDSC.