Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: Automated gender estimation has numerous applications, including video surveillance, human–computer interaction, anonymous customized advertisement, and image retrieval. Most commonly, the underlying algorithms analyze the facial appearance for clues of gender. ,  propose a novel method for gender estimation, which exploits dynamic features gleaned from smiles and  proceed to show that: a) facial dynamics incorporate clues for gender dimorphism and b) while for adult individuals appearance features are more accurate than dynamic features, for subjects under 18 years facial dynamics can outperform appearance features. In addition,  fuse proposed dynamics-based approach with state-of-the-art appearance-based algorithms, predominantly improving performance of the latter. Results show that smile-dynamics include pertinent and complementary to appearance gender information.
['Antitza Dantcheva', 'François Brémond']
I am writing a research paper on a idea Gender Estimation Based on Smile-Dynamics
[{"from": "human", "value": "I am writing a research paper on a idea Gender Estimation Based on Smile-Dynamics"}, {"from": "gpt", "value": "Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: Automated gender estimation has numerous applications, including video surveillance, human\u2013computer interaction, anonymous customized advertisement, and image retrieval. Most commonly, the underlying algorithms analyze the facial appearance for clues of gender. ,  propose a novel method for gender estimation, which exploits dynamic features gleaned from smiles and  proceed to show that: a) facial dynamics incorporate clues for gender dimorphism and b) while for adult individuals appearance features are more accurate than dynamic features, for subjects under 18 years facial dynamics can outperform appearance features. In addition,  fuse proposed dynamics-based approach with state-of-the-art appearance-based algorithms, predominantly improving performance of the latter. Results show that smile-dynamics include pertinent and complementary to appearance gender information."}]