In this paper we propose a unified framework for learning such local image descriptors that describe pixel neighborhoods using binary codes.
In this paper we propose a unified framework for learn- ing such local image descriptors that describe pixel neigh- borhoods using binary codes.
In this paper we propose a unified framework for learning such local image descriptors that describe pixel neighborhoods using binary codes.
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The proposed texture representation is evaluated in retrieval and classification tasks using the entire Brodatz database and a collection of photographs of ...
Missing: decision trees.
Abstract. Many state-of-the-art face recognition algorithms use image descriptors based on features known as Local Binary Patterns (LBPs).
learn discriminative descriptors from the training data, which is based on a connection between LBPs and decision trees. In this work we consider the task ...
Many state-of-the-art face recognition algorithms use image descriptors based on features known as Local Binary Patterns (LBPs). While many variations of ...
Aug 9, 2021 · Our goal in this paper is to provide the robotics community with new computationally efficient binary descriptors (see. Fig. 1). To this end we ...
Jul 8, 2019 · We address the descriptor training as a binary classification problem where we have a ... In BEBLID, we propose a similarity function based on ...
Nov 29, 2017 · We refer the new descriptor as learning-based multiple binary descriptors (LMBD). Two types of binary descriptors are explored as the basic ...