Retrieval of Facial Sketches Using Linguistic Descriptors: An Approach Based on Hierarchical Classification of Facial Attributes
| Autor: | Abhir Bhandary, M. S. Sannidhan, S. Pallavi |
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| Rok vydání: | 2020 |
| Předmět: |
Process (engineering)
business.industry Computer science media_common.quotation_subject ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION Linguistics Sketch Euclidean distance Software Perception Face (geometry) Benchmark (computing) business Natural language ComputingMethodologies_COMPUTERGRAPHICS media_common |
| Zdroj: | Advances in Intelligent Systems and Computing ISBN: 9789811535130 |
| Popis: | The facial sketch of the offender may be one of the essential evidences in arresting the offender. Usually, sketch artist or software packages are used to generate the facial sketch on the basis of the eyewitness’s description, which includes discrete areas of the face such as nose, mouth and eyebrows. Most of the time, eyewitness cannot describe all the facial cues of a criminal in terms of length and width. So it may be a time-consuming process for both the artist and the eyewitness. To overcome this difficulty, our work aims to make the job of the eyewitness easier by describing the criminal’s facial parts in terms of natural language such as ‘long nose’ and ‘big eyes’. To address this, we have adopted standard linguistic descriptors in English language which provides an easy human perception of facial regions. In this paper, we have trained more than 200 sketches to detect the faces and extract the specific corner points. Then, they are classified hierarchically in terms of linguistic hedges based on the Euclidean distance. Finally, the sketches are retrieved based on the score. Experimental results are obtained by using the benchmark datasets like PRIP_HDC and CUHK. |
| Databáze: | OpenAIRE |
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