Estimation of point light source parameters for object-based coding

Stauder, Jürgen

doi:10.1016/0923-5965(95)00008-7

Cited by 16 publications

(28 citation statements)

References 13 publications

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“…This is of high importance for its practical use. In contrast, the extraction of descriptors of static illumination effects or of descriptors of light sources are restricted either to unicolored scene background [7,24], or to unicolored objects [9,21], or they need additional input data as 3D object shape [13,27,29]. The proposed descriptor extraction method shall consider errors in all used data, i.e., the video images and the used motion information.…”

Section: Figmentioning

confidence: 98%

An Illumination Effect Descriptor for Video Sequences

Stauder¹

2001

Journal of Visual Communication and Image Representation

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Section: Figmentioning

confidence: 98%

An Illumination Effect Descriptor for Video Sequences

Stauder¹

2001

Journal of Visual Communication and Image Representation

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“…Two methods, one based on the use of local estimates on smooth patches and the other utilizing shading information around the object boundary, are proposed for estimating the tilt angle. Stauder has proposed a technique for simultaneous recovery of source direction and object motion, but the light source has been assumed stationary [10]. Zhang et al have used a sequence of images of a stationary object illuminated by a moving light source to infer the structure of the object [3].…”

Section: Introductionmentioning

confidence: 99%

Recursive Estimation of Illuminant Motion from Flow Field and Simultaneous Recovery of Shape

Deshpande

Chaudhuri

1998

Computer Vision and Image Understanding

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“…In contrast to the methods proposed in [1], [29], explicit surface normal information from the 3-D head model is available. This allows the usage of linear estimation techniques [7] which are computationally efficient.…”

Section: C1 Explicit Light Source Modelsmentioning

confidence: 99%

MPEG‐4 facial animation in video analysis and synthesis

Eisert

2003

Int J Imaging Syst Tech

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Abstract-MPEG-4 supports the definition, encoding, transmission, and animation of 3-D head and body models. These features can be used for a variety of different applications ranging from low bit-rate video coding to character and avatar animation. In this paper, an entire system for the analysis of facial expressions from image sequences and their synthesis is presented. New methods for the estimation of MPEG-4 facial animation parameters as well as scene illumination are proposed. Experiments for different applications demonstrate the potential of using facial animation techniques in video analysis and synthesis. A model-based codec is presented that is able to encode head-and-shoulder video sequences at bit-rates of about 1 kbit/s. Besides the low bit-rate, many enhancements and scene modifications can be easily applied, like scene lighting changes or cloning of expressions for character animation. But also for the encoding of arbitrary sequences, 3-D knowledge can help to increase the coding efficiency. With our model-aided codec, bit-rate reductions of up to 45 % at the same quality can be achieved in comparison to standard hybrid video codecs.

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Estimation of point light source parameters for object-based coding

Cited by 16 publications

References 13 publications

An Illumination Effect Descriptor for Video Sequences

An Illumination Effect Descriptor for Video Sequences

Recursive Estimation of Illuminant Motion from Flow Field and Simultaneous Recovery of Shape

MPEG‐4 facial animation in video analysis and synthesis

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