计算机应用与软件
計算機應用與軟件
계산궤응용여연건
COMPUTER APPLICATIONS AND SOFTWARE
2015年
4期
175-180
,共6页
黄双萍%王卫星%吴伟斌%薛昆南%冯绮颖
黃雙萍%王衛星%吳偉斌%薛昆南%馮綺穎
황쌍평%왕위성%오위빈%설곤남%풍기영
人脸素描%马尔可夫随机场模型%置信度传播%特征融合
人臉素描%馬爾可伕隨機場模型%置信度傳播%特徵融閤
인검소묘%마이가부수궤장모형%치신도전파%특정융합
Facial sketch%Markov random filed model%Belief propagation%Feature fusion
人脸素描作为一门独特的艺术，以其逼真的手法表现人物特征和个性，广泛应用于法律实施、数字娱乐和生活工艺等方面。鉴于其广阔的应用前景，人脸素描自动生成已成为计算机视觉领域的热门话题之一。针对当前人脸素描使用单一图像特征，素描效果不够精细，建立的模型对光照变化比较敏感等问题，提出在使用马尔可夫随机场（MRF）模型和置信度传播算法（BP）基础上进行光照鲁棒性细节技术设计，融合多种主流视觉特征进行人脸素描自动生成。首先，将人脸素描分割成交叠图像块，使用DoG、Dense SIFT、Gray，LBP，gist等特征定义能量函数，建立MRF模型；然后，利用BP算法进行推理，估计测试照片块对应的素描块；最后，对素描块交叠区域进行处理，拼接成一幅完整的人脸素描。实验结果表明，使用Sum-Product置信度传播算法进行推理，对素描块重叠区域用平均法进行拼接，素描合成达到较好视觉效果，且具有较好光照鲁棒性。
人臉素描作為一門獨特的藝術，以其逼真的手法錶現人物特徵和箇性，廣汎應用于法律實施、數字娛樂和生活工藝等方麵。鑒于其廣闊的應用前景，人臉素描自動生成已成為計算機視覺領域的熱門話題之一。針對噹前人臉素描使用單一圖像特徵，素描效果不夠精細，建立的模型對光照變化比較敏感等問題，提齣在使用馬爾可伕隨機場（MRF）模型和置信度傳播算法（BP）基礎上進行光照魯棒性細節技術設計，融閤多種主流視覺特徵進行人臉素描自動生成。首先，將人臉素描分割成交疊圖像塊，使用DoG、Dense SIFT、Gray，LBP，gist等特徵定義能量函數，建立MRF模型；然後，利用BP算法進行推理，估計測試照片塊對應的素描塊；最後，對素描塊交疊區域進行處理，拼接成一幅完整的人臉素描。實驗結果錶明，使用Sum-Product置信度傳播算法進行推理，對素描塊重疊區域用平均法進行拼接，素描閤成達到較好視覺效果，且具有較好光照魯棒性。
인검소묘작위일문독특적예술，이기핍진적수법표현인물특정화개성，엄범응용우법률실시、수자오악화생활공예등방면。감우기엄활적응용전경，인검소묘자동생성이성위계산궤시각영역적열문화제지일。침대당전인검소묘사용단일도상특정，소묘효과불구정세，건립적모형대광조변화비교민감등문제，제출재사용마이가부수궤장（MRF）모형화치신도전파산법（BP）기출상진행광조로봉성세절기술설계，융합다충주류시각특정진행인검소묘자동생성。수선，장인검소묘분할성교첩도상괴，사용DoG、Dense SIFT、Gray，LBP，gist등특정정의능량함수，건립MRF모형；연후，이용BP산법진행추리，고계측시조편괴대응적소묘괴；최후，대소묘괴교첩구역진행처리，병접성일폭완정적인검소묘。실험결과표명，사용Sum-Product치신도전파산법진행추리，대소묘괴중첩구역용평균법진행병접，소묘합성체도교호시각효과，차구유교호광조로봉성。
As a unique art,facial sketch expresses people’s feature and character with its realistic skill,and is widely used in law enforcement,digital entertainment,life technology and so on.In view of its broad application prospects,automatic facial sketch generation has become one of the hot topics in computer vision field.Aiming at the problems that current facial sketch uses single image feature,the sketch effect is not fine enough,and the built model is also very sensitive to illumination changes,etc.,in this article we present to conduct the technical design for robustness details of illumination based on using MRF model and belief propagation (BP)algorithm,and to carry out automatic facial sketch generation by combining a couple of mainstream visual features.First,the facial sketch is divided into overlapping image patches,and the features definition energy functions of DoG,Dense SIFT,Gray,LBP gist,etc.,are used to build Markov random field (MRF)model.Then,BP algorithm is used for inference in order to estimate the corresponding sketch patch of the testing photo patch. Finally,the overlapping regions of the sketch patches are processed and assembled into a complete facial sketch.Experimental result illustrates that the sketch synthesis effect achieves better effect by using Sum-Product BP algorithm for inference and using average method to assemble overlapping regions of sketch patches,and has better illumination robustness as well.
