International audienceGaussian Pyramid (GP) is one of the most important representations in computer vision. However, the computation of GP is still challenging for real-time applications. In this paper, we propose a novel approach by investigating the extended box filters for an efficient Gaussian approximation. Taking advantages of the cascade configuration, tiny kernels and memory cache, we develop a fast and suitable algorithm for embedded systems, typically smartphones. Experiments with Android NDK show a 5x speed up compared to an optimized CPU-version of the Gaussian smoothing
Image pyramid provides multi-resolutional format that mirrors multiple scales of processing in the h...
This paper introduces a CMOS vision sensor chip in a standard 0.18 μm CMOS technology for Gaussian p...
This paper proposes fast and accurate frame rate up-conversion algorithm for both software and hardw...
This paper addresses a comparison of architectures for the hardware implementation of Gaussian image...
International audienceThe half-octave Gaussian pyramid is an important tool in computer vision and i...
International audienceThis paper presents a method for object detection based on a cascade of scale ...
The bilateral filter is a versatile non-linear filter that has found diverse applications in image p...
Local image features, such as blobs and corners, have proven to be very useful for several computer ...
Abstract—Multi-resolution image features may be approximated via extrapolation from nearby scales, r...
A new technique for fast pattern recognition using normal-ized grey-scale correlation (NGC) is descr...
Abstract—This live demonstration showcases the Gaussian pyramid with a CMOS vision sensor. The chip ...
This paper studies the issue of which filters should be used for feature point detection. Classical ...
Many machine learning algorithms require the summation of Gaussian kernel functions, an expensive op...
We present new methods for fast Gaussian process (GP) inference in large-scale scenarios including e...
Efficient image blurring techniques based on the pyramid algorithm can be implemented on modern grap...
Image pyramid provides multi-resolutional format that mirrors multiple scales of processing in the h...
This paper introduces a CMOS vision sensor chip in a standard 0.18 μm CMOS technology for Gaussian p...
This paper proposes fast and accurate frame rate up-conversion algorithm for both software and hardw...
This paper addresses a comparison of architectures for the hardware implementation of Gaussian image...
International audienceThe half-octave Gaussian pyramid is an important tool in computer vision and i...
International audienceThis paper presents a method for object detection based on a cascade of scale ...
The bilateral filter is a versatile non-linear filter that has found diverse applications in image p...
Local image features, such as blobs and corners, have proven to be very useful for several computer ...
Abstract—Multi-resolution image features may be approximated via extrapolation from nearby scales, r...
A new technique for fast pattern recognition using normal-ized grey-scale correlation (NGC) is descr...
Abstract—This live demonstration showcases the Gaussian pyramid with a CMOS vision sensor. The chip ...
This paper studies the issue of which filters should be used for feature point detection. Classical ...
Many machine learning algorithms require the summation of Gaussian kernel functions, an expensive op...
We present new methods for fast Gaussian process (GP) inference in large-scale scenarios including e...
Efficient image blurring techniques based on the pyramid algorithm can be implemented on modern grap...
Image pyramid provides multi-resolutional format that mirrors multiple scales of processing in the h...
This paper introduces a CMOS vision sensor chip in a standard 0.18 μm CMOS technology for Gaussian p...
This paper proposes fast and accurate frame rate up-conversion algorithm for both software and hardw...