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公开(公告)号:KR100420860B1
公开(公告)日:2004-03-02
申请号:KR1020010048606
申请日:2001-08-13
Applicant: 학교법인연세대학교
IPC: G06T17/00
Abstract: PURPOSE: A method of compressing a phase of three-dimensional graphic data using weighted vector sum is provided to compress three-dimensional graphic data in consideration of variations in previous data items to improve compression efficiency. CONSTITUTION: A start triangle is arbitrarily selected. Triangle data to be compressed is inputted(S50). Initial three points are set using one of vertexes of a triangle that was not processed is used as a start point, and the nth vertex is inputted(S52). The sum of vectors is estimated(S54). A difference between a weighted vector sum and actual vertexes is delta-encoded. A difference between an estimated value and an actual value is calculated and stored(S55). Huffman table is constructed on the basis of the delta-encoded value(S56). Huffman tag and encoding data are output. Huffman encoding is performed using the Huffman table and the encoding result is output(S57,S58).
Abstract translation: 目的:提供一种使用加权矢量和来压缩三维图形数据的相位的方法,以考虑到先前数据项的变化来压缩三维图形数据以提高压缩效率。 组成:起始三角形是任意选择的。 输入要压缩的三角形数据(S50)。 使用未经处理的三角形的顶点之一设定初始三点作为起点,输入第N顶点(S52)。 矢量的总和被估计(S54)。 增量矢量和与实际顶点之间的差异是增量编码。 计算并存储估计值和实际值之间的差值(S55)。 霍夫曼表是基于增量编码值构建的(S56)。 输出霍夫曼标签和编码数据。 使用霍夫曼表执行霍夫曼编码,并输出编码结果(S57,S58)。
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公开(公告)号:KR1020030015401A
公开(公告)日:2003-02-25
申请号:KR1020010048606
申请日:2001-08-13
Applicant: 학교법인연세대학교
IPC: G06T17/00
Abstract: PURPOSE: A method of compressing a phase of three-dimensional graphic data using weighted vector sum is provided to compress three-dimensional graphic data in consideration of variations in previous data items to improve compression efficiency. CONSTITUTION: A start triangle is arbitrarily selected. Triangle data to be compressed is inputted(S50). Initial three points are set using one of vertexes of a triangle that was not processed is used as a start point, and the nth vertex is inputted(S52). The sum of vectors is estimated(S54). A difference between a weighted vector sum and actual vertexes is delta-encoded. A difference between an estimated value and an actual value is calculated and stored(S55). Huffman table is constructed on the basis of the delta-encoded value(S56). Huffman tag and encoding data are output. Huffman encoding is performed using the Huffman table and the encoding result is output(S57,S58).
Abstract translation: 目的:提供一种使用加权矢量和压缩三维图形数据的相位的方法,以考虑先前数据项的变化来压缩三维图形数据,以提高压缩效率。 构成:任意选择起始三角形。 输入要压缩的三角形数据(S50)。 使用未处理的三角形的顶点中的一个作为起点设置初始的三个点,并输入第n个顶点(S52)。 估计向量的和(S54)。 加权矢量和和实际顶点之间的差异是增量编码。 计算并存储估计值与实际值之间的差异(S55)。 霍夫曼表基于增量编码值构建(S56)。 输出霍夫曼标签和编码数据。 使用霍夫曼表进行霍夫曼编码,输出编码结果(S57,S58)。
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