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BSIF: Binarized statistical image features
  • Juho Kannala, Esa Rahtu
  • Computer Science
  • Proceedings of the 21st International Conference…
  • 1 November 2012
This paper proposes a method for constructing local image descriptors which efficiently encode texture information and are suitable for histogram based representation of image regions. The methodExpand
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Fine-Grained Visual Classification of Aircraft
This paper introduces FGVC-Aircraft, a new dataset containing 10,000 images of aircraft spanning 100 aircraft models, organised in a three-level hierarchy. At the finer level, differences betweenExpand
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Segmenting Salient Objects from Images and Videos
In this paper we introduce a new salient object segmentation method, which is based on combining a saliency measure with a conditional random field (CRF) model. The proposed saliency measure isExpand
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Recognition of blurred faces using Local Phase Quantization
In this paper, recognition of blurred faces using the recently introduced Local Phase Quantization (LPQ) operator is proposed. LPQ is based on quantizing the Fourier transform phase in localExpand
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Learning a category independent object detection cascade
Cascades are a popular framework to speed up object detection systems. Here we focus on the first layers of a category independent object detection cascade in which we sample a large number ofExpand
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Fast and Efficient Saliency Detection Using Sparse Sampling and Kernel Density Estimation
Salient region detection has gained a great deal of attention in computer vision. It is useful for applications such as adaptive video/image compression, image segmentation, anomaly detection, imageExpand
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Generating Object Segmentation Proposals Using Global and Local Search
We present a method for generating object segmentation proposals from groups of superpixels. The goal is to propose accurate segmentations for all objects of an image. The proposed object hypothesesExpand
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Local phase quantization for blur-insensitive image analysis
One of the principal causes for image quality degradation is blur. This frequent phenomenon is usually a result of misfocused optics or camera motion, and it is very difficult to undo. Beyond theExpand
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Affine invariant pattern recognition using multiscale autoconvolution
This paper presents a new affine invariant image transform called multiscale autoconvolution (MSA). The proposed transform is based on a probabilistic interpretation of the image function. The methodExpand
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Image-Based Localization Using Hourglass Networks
In this paper, we propose an encoder-decoder convolutional neural network (CNN) architecture for estimating camera pose (orientation and location) from a single RGB-image. The architecture has aExpand
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