Face Sketch Synthesis using Bilateral Symmetry
نویسندگان
چکیده
Method of creating sketch from available photograph is known as sketch synthesis. To synthesize face sketch, similarity between different photograph patches is evaluated. Existing patch level method requires huge computational time and space for finding candidate photograph patches. Photograph patches are replaced by sparse coefficients using sparse coding. Sparse representation is used to select candidate photograph patches. Then greedy search is used to measure the similarity between the test photograph patch and the training photograph patch. Final candidate patches are stitched to get synthesized sketch. By using bilateral symmetry, it tends to achieve high efficiency of the system.
منابع مشابه
A Simple Framework for Face Photo-Sketch Synthesis
This paper proposes a simple framework for face photo-sketch synthesis. We first describe the shadow details on faces and extract the prominent facial feature by two-scale decomposition using bilateral filtering. Then, we enhance the hair and some unapparent facial feature regions by combining the edge map and hair color similarity map. Finally, we obtain the face photo sketch by adding the res...
متن کاملA Nonlinear Grayscale Morphological and Unsupervised method for Human Facial Synthesis Based on an Example Image
Human facial generation of example image is used as a requirement for biometric applications for the purpose of identifying individuals. In this paper, face generation consists of three main steps. In the first step, detection of significant lines and edges of the example image are carried out using nonlinear grayscale morphology. Then, hair areas are identified from the face of sample. The fin...
متن کاملFace Synthesis from Visual Attributes via Sketch using Conditional VAEs and GANs
Automatic synthesis of faces from visual attributes is an important problem in computer vision and has wide applications in law enforcement and entertainment. With the advent of deep generative convolutional neural networks (CNNs), attempts have been made to synthesize face images from attributes and text descriptions. In this paper, we take a different approach, where we formulate the original...
متن کاملFace Sketch-Photo Synthesis and Retrieval Using Sparse Representation
Sketch–photo synthesis plays an important role in sketch-based face photo retrieval and photo-based face sketch retrieval systems. In this paper, we propose an automatic sketch– photo synthesis and retrieval algorithm based on sparse representation. The proposed sketch–photo synthesis method works at patch level and is composed of two steps: sparse neighbor selection (SNS) for an initial estima...
متن کاملReal-Time Exemplar-Based Face Sketch Synthesis
This paper proposes a simple yet effective face sketch synthesis method. Similar to existing exemplar-based methods, a training dataset containing photo-sketch pairs is required, and a K-NN photo patch search is performed between a test photo and every training exemplar for sketch patch selection. Instead of using the Markov Random Field to optimize global sketch patch selection, this paper for...
متن کامل