Abstract— Editing on digital images is ubiquitous. Identification of deliberately modified facial images is a new challenge for face identification system.
We propose SIFT features for efficient face identification in this scenario. Further comparative analysis has been given with well known eigenface approach.
We propose SIFT features for efficient face identification in this scenario. Further comparative analysis has been given with well known eigenface approach.
Oct 24, 2015 � In this paper, we address the problem of identification of a face or person from heavily altered facial images.
This paper presents a novel work, which is to identify the original image of a face of a person by using the heavily modified facial images.
ABSTRACT. Scale Invariant Feature Transform (SIFT) has shown to be a powerful technique for general object recognition/detection.
Missing: Identification Manipulated
H. R. Chennamma, Lalitha Rangarajan, Veerabhadrappa: Face Identification from Manipulated Facial Images using SIFT. CoRR abs/1106.4907 (2011).
Abstract. Editing on digital images is ubiquitous. Identification of deliberately modified facial images is a new challenge for face identification system.
The dataset contains manipulations created with four state-of-the-art methods, namely, Face2Face,. FaceSwap, DeepFakes, and NeuralTextures. Abstract. The rapid�...
We use the SIFT algorithm in OpenCV.SIFT produces a list of good features for each image. Each of this features is a 128 dimensional vector.
Missing: Manipulated | Show results with:Manipulated