Fast sum of absolute differences visual landmark detector

Watman, C.; Austin, David; Barnes, Nick; Overett, Gary; Thompson, Simon G.

doi:10.1109/robot.2004.1302482

Cited by 31 publications

(12 citation statements)

References 3 publications

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“…Approaches to selection include the sum of absolute differences [18] and turn and look back [1] methods which are suitable for topological mapping. Metric mapping tends to rely on being able to identify landmarks independent of their scale and rotation and using a lot of these matches to localize the robot.…”

Section: Prior Workmentioning

confidence: 99%

Sharing landmark information using mixture of Gaussian terrain spatiograms

Lyons

2009

2009 IEEE/RSJ International Conference on Intelligent Robots and Systems

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Abstract-In this paper we evaluate the use of a novel spatial histogram called the terrain spatiogram as a common representation for exchanging landmark information between robots working as a team to map an area. Individual robots use range sensors to provide the spatial dimension of the spatiogram and video for the image dimension. We have previously shown that terrain spatiograms can be shared between robots in a heterogeneous team to recognize landmarks and to fuse observations from multiple sensors or multiple platforms.A terrain spatiogram using a mixture of Gaussians (MOG) model is introduced and a corresponding normalized spatiogram similarity measure defined. Two methods to generate a MOG terrain spatiogram are presented and compared experimentally using indoor and outdoor landmark information transferred between two different models of robot equipped with differently configured stereocameras.

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Section: Prior Workmentioning

confidence: 99%

Sharing landmark information using mixture of Gaussian terrain spatiograms

Lyons

2009

2009 IEEE/RSJ International Conference on Intelligent Robots and Systems

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“…The work presented by [1][2][3][4][5][6] shows that motion estimation aims at reducing the temporal redundancy between successive frames in a video sequence. Innovation has put much emphasis on improving the videocoding giving rise to new standard H.264/AVC [7,8].…”

Section: Related Workmentioning

confidence: 99%

Design and Implementation of Sad Algorithm for Motion Estimation in H.264/AVC

Geethanjali¹

2015

IJRET

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“…Similar kind of implementation can be obtained in [5] but in different context while it has been synthesized using Cadence RTL Compiler. MATLAB implementation of SAD algorithm for Visual Landmark detector is implemented in [6].…”

Section: Related Workmentioning

confidence: 99%

Efficient Comparator based Sum of Absolute Differences Architecture for Digital Image Processing Applications

P¹,

Kumar²

2014

IJCA

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The prolific use of images & videos in portable devices, raised the need to develop the efficient architectures for the ever increasing demand of portability with low power and high performance quality metrics. However the images and videos are the information's to be stored, but there compression while storing is the important part. This paper introduces a basic hardware component "comparator" for the compression architectures. Comparator augments as general purpose core to Sum of Absolute difference (SAD) architecture used for the object recognition, generation of disparity maps of the stereo images and for estimating the motion in videos. The Subtraction part of the comparator is optimized by providing the parallel computation in processing the 2's complement operation. Transistor stacking and Logic optimization concepts are utilized to reduce the leakage power of the comparator design. 4-bit wide Comparator with "smallest of two binary numbers" functionality is modeled using Verilog HDL and synthesized using Synopsys Design Compiler. The design was mapped to 65nm technological library node and results were benchmarked with respect to standard ASIC design methodology. The proposed architectures have resulted in reduced leakage power about 7-42 % for different proposed architectures and enabled the different corners for analysis.

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Fast sum of absolute differences visual landmark detector

Cited by 31 publications

References 3 publications

Sharing landmark information using mixture of Gaussian terrain spatiograms

Sharing landmark information using mixture of Gaussian terrain spatiograms

Design and Implementation of Sad Algorithm for Motion Estimation in H.264/AVC

Efficient Comparator based Sum of Absolute Differences Architecture for Digital Image Processing Applications

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