Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely:   propose a novel framework for contour based object detection from cluttered environments. Given a contour model for a class of objects, it is first decomposed into fragments hierarchically. Then,  group these fragments into part bundles, where a part bundle can contain overlapping fragments. Given a new image with set of edge fragments  develop an efficient voting method using local shape similarity beten part bundles and edge fragments that generates high quality candidate part configurations.  then use global shape similarity beten the part configurations and the model contour to find optimal configuration. Furthermore,  show that appearance information can be used for improving detection for objects with distinctive texture when model contour does not sufficiently capture deformation of the objects.
['ChengEn Lu', 'Nagesh Adluru', 'Haibin Ling', 'Guangxi Zhu', 'Longin Jan Latecki']
I am writing a research paper on a idea Contour based object detection using part bundles
[{"from": "human", "value": "I am writing a research paper on a idea Contour based object detection using part bundles"}, {"from": "gpt", "value": "Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely:   propose a novel framework for contour based object detection from cluttered environments. Given a contour model for a class of objects, it is first decomposed into fragments hierarchically. Then,  group these fragments into part bundles, where a part bundle can contain overlapping fragments. Given a new image with set of edge fragments  develop an efficient voting method using local shape similarity beten part bundles and edge fragments that generates high quality candidate part configurations.  then use global shape similarity beten the part configurations and the model contour to find optimal configuration. Furthermore,  show that appearance information can be used for improving detection for objects with distinctive texture when model contour does not sufficiently capture deformation of the objects."}]