International Journal of Computer Vision
The Illumination-Invariant Recognition of 3D Objects Using Local Color Invariants
IEEE Transactions on Pattern Analysis and Machine Intelligence
IEEE Transactions on Pattern Analysis and Machine Intelligence
Shape Matching and Object Recognition Using Shape Contexts
IEEE Transactions on Pattern Analysis and Machine Intelligence
ECCV '96 Proceedings of the 4th European Conference on Computer Vision-Volume II - Volume II
A Region-Based Object Recognition Algorithm
SIBGRAPI '02 Proceedings of the 15th Brazilian Symposium on Computer Graphics and Image Processing
Object Recognition from Local Scale-Invariant Features
ICCV '99 Proceedings of the International Conference on Computer Vision-Volume 2 - Volume 2
Context-based vision system for place and object recognition
ICCV '03 Proceedings of the Ninth IEEE International Conference on Computer Vision - Volume 2
Multi-probe LSH: efficient indexing for high-dimensional similarity search
VLDB '07 Proceedings of the 33rd international conference on Very large data bases
From Gestalt Theory to Image Analysis: A Probabilistic Approach
From Gestalt Theory to Image Analysis: A Probabilistic Approach
BRIEF: binary robust independent elementary features
ECCV'10 Proceedings of the 11th European conference on Computer vision: Part IV
The stanford mobile visual search data set
MMSys '11 Proceedings of the second annual ACM conference on Multimedia systems
SURF: speeded up robust features
ECCV'06 Proceedings of the 9th European conference on Computer Vision - Volume Part I
Machine learning for high-speed corner detection
ECCV'06 Proceedings of the 9th European conference on Computer Vision - Volume Part I
CVPR '12 Proceedings of the 2012 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)
ORB: An efficient alternative to SIFT or SURF
ICCV '11 Proceedings of the 2011 International Conference on Computer Vision
BRISK: Binary Robust invariant scalable keypoints
ICCV '11 Proceedings of the 2011 International Conference on Computer Vision
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In this paper, we propose an approach for planar object recognition using binary local invariant feature and local histogram features, in scene image. First, the object is detected based on a homography which represents transformation of object in scene image from reference image, estimated from matching pairs of keypoints between two images. Then, local intensity histograms are computed from blocks inside scene object. In order to locate these blocks, a reference object is divided into many blocks then the corresponding blocks of the scene object are located based on the homography with assumption that object is a plane. To make the feature invariant to the illumination, the local histogram is computed from only intensity component (V) of HSV color of image. Similarity of two images is calculated from the similarity of their local histogram features and the matching ratio. The recognized object is the most similar reference object in data set. For evaluation, we experiment our method with a planar dataset from Stanford University which includes book cover, cd cover, painting, business card, etc. According to the result, our proposed method gets the higher accuracy compare to some other methods while remaining significant processing for an online application.