Computer animation: algorithms and techniques-a historical review

Parent, Rick

doi:10.1109/ca.2000.889049

Cited by 102 publications

(155 citation statements)

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“…Retargeting a human movement on a digital artifact is a well known issue in computer graphics. 19 This is the same in humanoid robotics. We have seen that HRP-2 robot cannot take the ball as Paolo did.…”

Section: Resultsmentioning

confidence: 58%

A Worked-Out Experience in Programming Humanoid Robots via the Kinetography Laban

Salaris

Abe

Laumond

2015

Dance Notations and Robot Motion

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This chapter discusses the possibility of using Laban notation to program humanoid robots. Laban notation documents human movements by a sequence of symbols that express movements as defined in the physical space. We show, by reasoning around the simple action of "taking a ball", the flexibility of the notation that is able to describe an action with different level of details, depending on the final objective of the notation. These characteristics make Laban notation suitable as a high level language and as a motion segmentation tool for humanoid robot programming and control. The main problem in robotics is to express actions that are defined and operate in the physical space in terms of robot motions that originate in the robot motor control space. This is the fundamental robotics issue of inversion. We will first show how symbols used by Laban to describe human gestures can be translated in terms of actions for the robot by using a framework called Stack of Tasks. We will then report on an experience tending to implement on a simulated humanoid platform the notation score of a "Tutting Dance" executed by a dancer. Once the whole movement has been implemented on the robot, it has been again notated by using Laban notation. The comparison between both scores shows that robot's movements are slightly different from dancer's ones. We then discuss about plausible origins of these differences.

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Section: Resultsmentioning

confidence: 58%

A Worked-Out Experience in Programming Humanoid Robots via the Kinetography Laban

Salaris

Abe

Laumond

2015

Dance Notations and Robot Motion

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“…harus pada waktu buah itu memberikan tanda-tanda kematangan: warna kulit buah mulai menguning. Tetapi masih banyak petani yang memetiknya pada waktu buah belum terlalu matang [4].…”

Section: IIunclassified

Identifikasi Tingkat Kebulatan Buah Pepaya Berdasarkan Luas Objek Dengan Pengolahan Citra

Syakri¹,

Mulyadi²,

Simbolon³

2018

j.info.media

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Abstrak -Dengan meningkatnya teknologi IT dalam hampir diseluruh bidang dan diantaranya bidang klasifikasi. Klaster ataupun klustering merupakan proses membagi data dalam suatu himpunan ke dalam beberapa kelompok yang mana kesamaan data dalam suatu kelompok lebih besar dibandingkan kesamaan data tersebut dengan data dalam kelompok lain. Potensi dari clustering adalah dapat digunakan untuk mengetahui struktur dalam data yang dapat digunakan lebih lanjut dalam berbagai aplikasi secara luas seperti klasifikasi, pengolahan gambar, pengenalan pola dalam bidang pertanian, proses pengenalan dan penentuan serta klasifikasi hasil pertanian pasca panen secara langsung memiliki peran yang sangat penting dalam teknologi pertanian.Hal ini juga yang menjadi masalah ketika pasca panen, baik dalam hal penyortiran. Bertitik tolak pada kasus tersebut, maka perlu adanya sebuah penelitian tentang sistem/metode/algoritma tentang tingkat kebulatan (Roudness) berdasarkan hal tersebut dibuatlah penelitian ini. Penelitian ini menggunakan data sekunder yang telah diperoleh pada penelitian sebelumnya yang dilakukan penulis untuk klasifikasi nantinya, adapun judul penelitianya adalah Identifikasi Tingkat Kebulatan Buah Pepaya Berdasarkan Luas Objek Dengan Pengolahan Citra. Adapun langkah yang dilakukan untuk menerapkan metode yang digunakan adalah sebagai berikut: Pertama, Pengambilan citra dan normalisasi. Kedua Segmentasi. Ketiga, ekstrasi tepi dan pelacakan kontur, peroleh kode rantai, keliling dan luas objek. Keempat perhitungan nilai kebulatan. Hasil penelitian ini bertujuan mampu memodelkan algoritma baru untuk mengetahui tingkat kebulatn objek (Buah pepaya) Kata Kunci :Luas, data,objek, keliling, Kebulatan Abstract -With the cheapness of IT technology in the long time. Cluster or clustering is the process of dividing data in a group into several groups where the similarity of data in a group greater than the similarity of data with data in other groups. The potential of clustering can be used to view structures in data that can be used further in a wide range of applications such as image processing, mindset in agricultural products, the process of presentation and management and enhancement of postharvest agricultural produce directly has a very important role in technology agriculture. This is also a problem during postharvest, both in terms of sorting. Based on that point, it is necessary to have a research about the system / method / algorithm about the level of Roudness (Roudness) based on the thing that made this research. This study uses secondary data that has been developed in previous research conducted by the author for the class later, as for the title of the research is the level of Papaya Fruit Roughness Based on Area Objects With Image Processing. The steps -steps taken to apply the methods used are as follows: First, image retrieval and normalization. Second, Segmentation. Third, creative extraction and contour success, ethnic code, circumference and area of objects. Fourth,roundness calculation. The results of this ...

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“…Broadly speaking, in the US CG and CA grew within Computer Science Departments and were initially funded by the military [2,3], while in the UK these fields grew in Art Departments [4,5,6] and were initially funded by advertising agencies and the production of commercials for television.…”

Section: Uk Higher Education Courses In Cg and Ca Since The 1970smentioning

confidence: 99%

Educating technophile artists and artophile technologists: A successful experiment in higher education

Comninos

McLoughlin

Anderson

2010

Computers & Graphics

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Over the past few decades, the arts have become increasingly dependent on and influenced by the development of computer technology. In the 1960s pioneering artists experimented with the emergent computer technology and more recently the majority of artists have come to use this technology to develop and even to implement their artefacts.The traditional divide between art and technology -if it ever existedhas been breaking down to the extent that a large number of artists consider themselves to be technophiles. In truth this divide has never existed. Throughout history artists have always used and exploited whatever technology existed and frequently led the development of new technology that would allow them to express their creativity. For instance the ancient Greek word for art was "τ´ χνη" (technê) -the etymological root for the word "technology".The divide between the arts and sciences, which we consider to be artificial and harmful, was only introduced in the western educational system in the 19th century and we believe that it is high time that it was bridged or removed altogether. To this end our centre has pioneered a number of university degrees that aim to blur the difference between artists and scientists / technologists. In this paper we explore the design of such courses, taking into account the evolution of the field and the historical development of our centre, and we share with our audience our experiences, successes, and trials and tribulations in implementing such degrees in the area of computer animation, games and digital effects. We present a discussion of the syllabus employed in our highly successful undergraduate degree programme, giving examples of various assignment and assessment forms. Further, we discuss the common issues in educating technophile artists that we have identified on our undergraduate programme and the implications on the students' learning experience arising from these.

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Computer animation: algorithms and techniques-a historical review

Cited by 102 publications

References 0 publications

A Worked-Out Experience in Programming Humanoid Robots via the Kinetography Laban

A Worked-Out Experience in Programming Humanoid Robots via the Kinetography Laban

Identifikasi Tingkat Kebulatan Buah Pepaya Berdasarkan Luas Objek Dengan Pengolahan Citra

Educating technophile artists and artophile technologists: A successful experiment in higher education

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