A Dense Point‐to‐Point Alignment Method for Realistic 3D Face Morphing and Animation

Hu, Yongli; Zhou, Mingquan; Wu, Zhang

doi:10.1155/2009/609350

Cited by 20 publications

(8 citation statements)

References 22 publications

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“…• m17 set: This set consists of four eyebrow, six eye, three nose, and four mouth landmarks. These are 16,19,22,25,28,30,32,34,40,41,42,46,49,52,55,63, and 64 as illustrated in Figure 2.…”

Section: Comparative Assessment Of Landmarking Methodsmentioning

confidence: 99%

“…For example, Jain et al [5] and Salah et al [6], use landmark points and the thin plate-spline (TPS) algorithm to fit a generic model to the face. This capability enables various other applications, e.g., face morphing and face animation [25]. Thus a face can be transformed into those of other individuals (inter-personal) or into different expressions of the same individual (intra-personal, e.g., a neutral face to a smiling face).…”

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A comparative study of face landmarking techniques

2013

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Face landmarking, defined as the detection and localization of certain characteristic points on the face, is an important intermediary step for many subsequent face processing operations that range from biometric recognition to the understanding of mental states. Despite its conceptual simplicity, this computer vision problem has proven extremely challenging due to inherent face variability as well as the multitude of confounding factors such as pose, expression, illumination and occlusions. The purpose of this survey is to give an overview of landmarking algorithms and their progress over the last decade, categorize them and show comparative performance statistics of the state of the art. We discuss the main trends and indicate current shortcomings with the expectation that this survey will provide further impetus for the much needed high-performance, real-life face landmarking operating at video rates.

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Section: Comparative Assessment Of Landmarking Methodsmentioning

confidence: 99%

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confidence: 99%

A comparative study of face landmarking techniques

2013

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“…To do this, we must first establish a dense point-to-point correspondence between the patient's face and each reference face. To this purpose, we use a technique similar to that proposed in [39]. First, faces are registered with a thin plate spline transformation (TPS), a non-rigid smooth surface transformation particularly suited for morphing or animating faces, based on the correspondence of a number of keypoints.…”

Section: Removing the Target Feature From All The Reference Facesmentioning

confidence: 99%

A New 3-D Tool for Planning Plastic Surgery

Bottino

Simone

Laurentini

et al. 2012

IEEE Trans. Biomed. Eng.

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Face plastic surgery (PS) plays a major role in today medicine. Both for reconstructive and cosmetic surgery, achieving harmony of facial features is an important, if not the major goal. Several systems have been proposed for presenting to patient and surgeon possible outcomes of the surgical procedure. In this paper, we present a new 3-D system able to automatically suggest, for selected facial features as nose, chin, etc., shapes that aesthetically match the patient's face. The basic idea is suggesting shape changes aimed to approach similar but more harmonious faces. To this goal, our system compares the 3-D scan of the patient with a database of scans of harmonious faces, excluding the feature to be corrected. Then, the corresponding features of the k most similar harmonious faces, as well as their average, are suitably pasted onto the patient's face, producing k+1 aesthetically effective surgery simulations. The system has been fully implemented and tested. To demonstrate the system, a 3-D database of harmonious faces has been collected and a number of PS treatments have been simulated. The ratings of the outcomes of the simulations, provided by panels of human judges, show that the system and the underlying idea are effective.

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“…Optimization-based descriptors. Both geometry and texture information is used.r A large number of 3D head scans are required with the texture which is not easy to obtain[DZW10,HZW09].…”

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A Survey on Data‐Driven 3D Shape Descriptors

Rostami

Bashiri

Rostami

et al. 2018

Computer Graphics Forum

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Recent advances in scanning device technologies and improvements in techniques that generate and synthesize 3D shapes have made 3D models widespread in various fields including medical research, biology, engineering, etc. 3D shape descriptors play a fundamental role in many 3D shape analysis tasks such as point matching, establishing point‐to‐point correspondence, shape segmentation and labelling, and shape retrieval to name a few. Various methods have been proposed to calculate succinct and informative descriptors for 3D models. Emerging data‐driven techniques use machine learning algorithms to construct accurate and reliable shape descriptors. This survey provides a thorough review of the data‐driven 3D shape descriptors from the machine learning point of view and compares them in different criteria. Also, a comprehensive taxonomy of the existing descriptors is proposed based on the exploited machine learning algorithms. Advantages and disadvantages of each category have been discussed in detail. Besides, two alternative categorizations from the data type and the application perspectives are presented. Finally, some directions for possible future research are also suggested.

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A Dense Point‐to‐Point Alignment Method for Realistic 3D Face Morphing and Animation

Cited by 20 publications

References 22 publications

A comparative study of face landmarking techniques

A comparative study of face landmarking techniques

A New 3-D Tool for Planning Plastic Surgery

A Survey on Data‐Driven 3D Shape Descriptors

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