Multi-faced object recognition in an image for inventory counting

T Sharma, SD Rajurkar, N Molangur, NK Verma… - … , Applications and Future …, 2019 - Springer
Herein, an approach is presented to count objects in an image with different viewpoints. The
multiple views of prototype have been used to get the viewpoint invariance in Speeded Up
Robust Feature. For each view, presence of multiple instances in the scene image is
investigated by matching the SURF features. If matches present, localization of instance is
done in scene by generating a bounding box using homography. False matches are
removed by computing correlation coefficient between transformed prototype and region of …

[引用][C] Multi-faced object recognition in an image for inventory counting

NK Verma, T Sharma, SD Rajurkar, N Molangur… - … International Conference on …, 2016
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