The Experts below are selected from a list of 261 Experts worldwide ranked by ideXlab platform
Ou Zong-ying - One of the best experts on this subject based on the ideXlab platform.
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ICAT Workshops - A New IBR Approach Based on View Synthesis for Virtual Environment Rendering
16th International Conference on Artificial Reality and Telexistence--Workshops (ICAT'06), 2006Co-Authors: Hu Zhi-ping, He Yuanjun, Ou Zong-yingAbstract:A general IBR (Image based rendering) approach schema for synthesis Image of new viewpoint is presented in this paper. Giving a series of Images of an environment on closely spaced two circles viewpoints the proposed algorithm can generate perspective Intermediate Images of the environment in any viewpoint between two circles. In this case the same environment is displayed from the view of a virtual camera controlled by the user. The synthesis processing consists of three steps: First, the ring-like region between outer and inner circles can be divided as a set of fan-like sub-regions. Find the fan-like region to encircle the specified viewpoint; then an IBR processing between two Images taken by moving camera along optical axis is implemented to generate two Intermediate Image; finally, an IBR processing between two Images taken by moving camera around the scene is implemented to generate the destination Image corresponding the specified viewpoint. Some experiment result Images are also shown in this paper.
Hu Zhi-ping - One of the best experts on this subject based on the ideXlab platform.
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ICAT Workshops - A New IBR Approach Based on View Synthesis for Virtual Environment Rendering
16th International Conference on Artificial Reality and Telexistence--Workshops (ICAT'06), 2006Co-Authors: Hu Zhi-ping, He Yuanjun, Ou Zong-yingAbstract:A general IBR (Image based rendering) approach schema for synthesis Image of new viewpoint is presented in this paper. Giving a series of Images of an environment on closely spaced two circles viewpoints the proposed algorithm can generate perspective Intermediate Images of the environment in any viewpoint between two circles. In this case the same environment is displayed from the view of a virtual camera controlled by the user. The synthesis processing consists of three steps: First, the ring-like region between outer and inner circles can be divided as a set of fan-like sub-regions. Find the fan-like region to encircle the specified viewpoint; then an IBR processing between two Images taken by moving camera along optical axis is implemented to generate two Intermediate Image; finally, an IBR processing between two Images taken by moving camera around the scene is implemented to generate the destination Image corresponding the specified viewpoint. Some experiment result Images are also shown in this paper.
Shoaib Ehsan - One of the best experts on this subject based on the ideXlab platform.
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novel hardware algorithms for row parallel integral Image calculation
Digital Image Computing: Techniques and Applications, 2009Co-Authors: Shoaib Ehsan, Adrian F Clark, Klaus D McdonaldmaierAbstract:The integral Image is an Intermediate Image representation that allows rapid calculation of rectangular features at constant speed, irrespective of filter size, and is particularly useful for multi-scale computer vision algorithms like Speeded-Up Robust Features (SURF). Although calculation of the integral Image involves simple addition operations, the total number of operations is significant due to the generally large size of Image data. Recursive equations allow considerable reduction in the required number of addition operations but require calculation of the integral Image in a serial fashion. This is generally not desirable for real-time embedded vision systems with strict time limitations and low-powered but parallel hardware resources. With the objective of minimizing the hardware resources involved, this paper proposes two novel hardware algorithms based on decomposition of these recursive equations, allowing calculation of up to four integral Image values in a row-parallel way with out significantly increasing the number of addition operations.
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DICTA - Novel Hardware Algorithms for Row-Parallel Integral Image Calculation
2009 Digital Image Computing: Techniques and Applications, 2009Co-Authors: Shoaib Ehsan, Adrian F Clark, Klaus D. Mcdonald-maierAbstract:The integral Image is an Intermediate Image representation that allows rapid calculation of rectangular features at constant speed, irrespective of filter size, and is particularly useful for multi-scale computer vision algorithms like Speeded-Up Robust Features (SURF). Although calculation of the integral Image involves simple addition operations, the total number of operations is significant due to the generally large size of Image data. Recursive equations allow considerable reduction in the required number of addition operations but require calculation of the integral Image in a serial fashion. This is generally not desirable for real-time embedded vision systems with strict time limitations and low-powered but parallel hardware resources. With the objective of minimizing the hardware resources involved, this paper proposes two novel hardware algorithms based on decomposition of these recursive equations, allowing calculation of up to four integral Image values in a row-parallel way with out significantly increasing the number of addition operations. © 2009 IEEE
He Yuanjun - One of the best experts on this subject based on the ideXlab platform.
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ICAT Workshops - A New IBR Approach Based on View Synthesis for Virtual Environment Rendering
16th International Conference on Artificial Reality and Telexistence--Workshops (ICAT'06), 2006Co-Authors: Hu Zhi-ping, He Yuanjun, Ou Zong-yingAbstract:A general IBR (Image based rendering) approach schema for synthesis Image of new viewpoint is presented in this paper. Giving a series of Images of an environment on closely spaced two circles viewpoints the proposed algorithm can generate perspective Intermediate Images of the environment in any viewpoint between two circles. In this case the same environment is displayed from the view of a virtual camera controlled by the user. The synthesis processing consists of three steps: First, the ring-like region between outer and inner circles can be divided as a set of fan-like sub-regions. Find the fan-like region to encircle the specified viewpoint; then an IBR processing between two Images taken by moving camera along optical axis is implemented to generate two Intermediate Image; finally, an IBR processing between two Images taken by moving camera around the scene is implemented to generate the destination Image corresponding the specified viewpoint. Some experiment result Images are also shown in this paper.
Klaus D Mcdonaldmaier - One of the best experts on this subject based on the ideXlab platform.
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novel hardware algorithms for row parallel integral Image calculation
Digital Image Computing: Techniques and Applications, 2009Co-Authors: Shoaib Ehsan, Adrian F Clark, Klaus D McdonaldmaierAbstract:The integral Image is an Intermediate Image representation that allows rapid calculation of rectangular features at constant speed, irrespective of filter size, and is particularly useful for multi-scale computer vision algorithms like Speeded-Up Robust Features (SURF). Although calculation of the integral Image involves simple addition operations, the total number of operations is significant due to the generally large size of Image data. Recursive equations allow considerable reduction in the required number of addition operations but require calculation of the integral Image in a serial fashion. This is generally not desirable for real-time embedded vision systems with strict time limitations and low-powered but parallel hardware resources. With the objective of minimizing the hardware resources involved, this paper proposes two novel hardware algorithms based on decomposition of these recursive equations, allowing calculation of up to four integral Image values in a row-parallel way with out significantly increasing the number of addition operations.