Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely:  addresses the problem of object tracking by particle filter in ca tadioptric images. Whereas a large literature exists for traditional images, only a ver y few methods have been developed for catadioptric vision.  present two techniques to correctly deal with the strong distortion inherent to catadioptric images. First,  propose g enerating and diffusing the particles in the equivalent sphere space rather than in th e original 2D catadioptric image. It allows to handle the specific distance associated to the d istorted image in a general framework. Second,  use an adapted neighborhood to perform template matching by histogram comparison. It permits to compare templates quickly while using an active neighborhood for space-variant windows. An additional important feature of our system is that no interpolation is performed:  directly wor k on the original catadioptric image. Experimental results demonstrated the validity of the proposed approach.
['Jean Charles Bazin', 'Kuk-Jin Yoon', 'In-So Kweon', 'Cédric Demonceaux', 'Pascal Vasseur']
I am writing a research paper on a idea Particle Filter Approach Adapted to Catadioptric Images for Target Tracking Application
[{"from": "human", "value": "I am writing a research paper on a idea Particle Filter Approach Adapted to Catadioptric Images for Target Tracking Application"}, {"from": "gpt", "value": "Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely:  addresses the problem of object tracking by particle filter in ca tadioptric images. Whereas a large literature exists for traditional images, only a ver y few methods have been developed for catadioptric vision.  present two techniques to correctly deal with the strong distortion inherent to catadioptric images. First,  propose g enerating and diffusing the particles in the equivalent sphere space rather than in th e original 2D catadioptric image. It allows to handle the specific distance associated to the d istorted image in a general framework. Second,  use an adapted neighborhood to perform template matching by histogram comparison. It permits to compare templates quickly while using an active neighborhood for space-variant windows. An additional important feature of our system is that no interpolation is performed:  directly wor k on the original catadioptric image. Experimental results demonstrated the validity of the proposed approach."}]