It givesus greatpleasureto presentthe proceedings of the 9th Asian Conference on Computer Vision (ACCV 2009), held in Xiaan, China, in September 2009. This was the ?rst ACCV conference to take place in mainland China. We received a total of 670 full submissions, which is a new record in the ACCV series. Overall, 35 papers were selected for oral presentation and 131 as posters, yielding acceptance rates of 5.2% for oral, 19.6% for poster, and 24.8% in total. In the paper reviewing, we continued the tradition of previous ACCVsbyconductingtheprocessinadouble-blindmanner.Eachofthe33Area Chairs received a pool of about 20 papers and nominated a number of potential reviewers for each paper. Then, Program Committee Chairs allocated at least three reviewers to each paper, taking into consideration any con?icts of interest and the balance of loads. Once the reviews were ?nished, the Area Chairs made summaryreportsforthepapersintheirpools, basedonthereviewersacomments and on their own assessments of the papers.In this paper, we present a Self-Avoiding Polygon (SAP) model for describing and detecting complex gable rooftops from nadir-view aerial imagery. ... images, combines the shape prior embedded in SAP and a set of appearance features ( edge, color and texture) learned from training images. ... Such variations cannot be accounted for in fixed shape templates. Even existing compositional models, such as [3, 2, 4], are still based on manual specified rules and hence limited in generality.
|Title||:||Computer Vision -- ACCV 2009|
|Author||:||Hongbin Zha, Rin-ichiro Taniguchi, Stephen Maybank|
|Publisher||:||Springer Science & Business Media - 2010-04-23|