Add to ORKGWe describe an algorithm for the automatic features de-tection in 2D color images of human faces. The algorithm proceeds with subsequent refinements. First, it identifies the sub-images containing each feature (eyes, nose and lips). Afterwards, it processes the single features separately by a blend of techniques which use both color and shape infor-mation. The method does not require any manual setting or operator intervention.
There are two main processes to create a 3D animatable facial model from photographs. The first is t...
This dissertation provides a methodology for processing and building 3D mesh models of human faces, ...
In this paper, a method for localization and extraction of faces and characteristic facial features ...
Human face detection is concerned with finding the location and size of every human face in a given ...
[[abstract]]In this paper, we propose an efficient face detection algorithm based on integrating mul...
Abstract: Knowledge about the number, position and size of human faces present in a given image or v...
In this paper we describe a face detection algorithm, the key idea being to determine roughly the sk...
Presentado al CORES-2007 celebrado en Wroclaw (Poland).Face detection is a primary step in many appl...
We describe a face detection algorithm, which characterizes and localizes skin regions and eyes in 2...
Abstract Face detection is a primary step in many applications such as face recognition, video surve...
Human faces differ in shape and texture. This paper describes a representation of grey-level images ...
Current 2D face recognition systems encounter difficulties in recognizing faces with large pose vari...
This paper presents a completly automated face recognition system integrating both two dimensional (...
In this paper we have used a simple and efficient color-based approach to segment human skin pixels ...
Face detection is a primary step in many applications such as face recognition, video surveillance, ...
There are two main processes to create a 3D animatable facial model from photographs. The first is t...
This dissertation provides a methodology for processing and building 3D mesh models of human faces, ...
In this paper, a method for localization and extraction of faces and characteristic facial features ...
Human face detection is concerned with finding the location and size of every human face in a given ...
[[abstract]]In this paper, we propose an efficient face detection algorithm based on integrating mul...
Abstract: Knowledge about the number, position and size of human faces present in a given image or v...
In this paper we describe a face detection algorithm, the key idea being to determine roughly the sk...
Presentado al CORES-2007 celebrado en Wroclaw (Poland).Face detection is a primary step in many appl...
We describe a face detection algorithm, which characterizes and localizes skin regions and eyes in 2...
Abstract Face detection is a primary step in many applications such as face recognition, video surve...
Human faces differ in shape and texture. This paper describes a representation of grey-level images ...
Current 2D face recognition systems encounter difficulties in recognizing faces with large pose vari...
This paper presents a completly automated face recognition system integrating both two dimensional (...
In this paper we have used a simple and efficient color-based approach to segment human skin pixels ...
Face detection is a primary step in many applications such as face recognition, video surveillance, ...
There are two main processes to create a 3D animatable facial model from photographs. The first is t...
This dissertation provides a methodology for processing and building 3D mesh models of human faces, ...
In this paper, a method for localization and extraction of faces and characteristic facial features ...