Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: Face detection is the first step in many visual processing systems like face recognition, emotion recognition and lip reading. ,  propose a novel feature called Haar Local Binary Pattern (HLBP) feature for fast and reliable face detection, particularly in adverse imaging conditions. This binary feature compares bin values of Local Binary Pattern histograms calculated over two adjacent image subregions. These subregions are similar to those in the Haar masks, hence the name of the feature. They capture the region-specific variations of local texture patterns and are boosted using AdaBoost in a framework similar to that proposed by Viola and Jones. Preliminary results obtained on several standard databases show that it competes ll with other face detection systems, especially in adverse illumination conditions.
['Anindya Roy', 'Sébastien Marcel']
I am writing a research paper on a idea Haar Local Binary Pattern Feature for Fast Illumination Invariant Face Detection
[{"from": "human", "value": "I am writing a research paper on a idea Haar Local Binary Pattern Feature for Fast Illumination Invariant Face Detection"}, {"from": "gpt", "value": "Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: Face detection is the first step in many visual processing systems like face recognition, emotion recognition and lip reading. ,  propose a novel feature called Haar Local Binary Pattern (HLBP) feature for fast and reliable face detection, particularly in adverse imaging conditions. This binary feature compares bin values of Local Binary Pattern histograms calculated over two adjacent image subregions. These subregions are similar to those in the Haar masks, hence the name of the feature. They capture the region-specific variations of local texture patterns and are boosted using AdaBoost in a framework similar to that proposed by Viola and Jones. Preliminary results obtained on several standard databases show that it competes ll with other face detection systems, especially in adverse illumination conditions."}]